{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 对地理坐标进行聚类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**说明:**\n",
    "\n",
    "将 `places.txt` 和 `Portland.png` 放在当前目录下。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from numpy import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-均值聚类支持函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def distEclud(vecA, vecB):\n",
    "    return sqrt(sum(power(vecA - vecB, 2))) #la.norm(vecA-vecB)\n",
    "\n",
    "def randCent(dataSet, k):\n",
    "    n = shape(dataSet)[1]\n",
    "    centroids = mat(zeros((k,n)))#create centroid mat\n",
    "    for j in range(n):#create random cluster centers, within bounds of each dimension\n",
    "        minJ = min(dataSet[:,j]) \n",
    "        rangeJ = float(max(dataSet[:,j]) - minJ)\n",
    "        centroids[:,j] = mat(minJ + rangeJ * random.rand(k,1))\n",
    "    return centroids"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-均值聚类算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def kMeans(dataSet, k, distMeas=distEclud, createCent=randCent):\n",
    "    m = shape(dataSet)[0]\n",
    "    clusterAssment = mat(zeros((m,2)))#create mat to assign data points \n",
    "                                      #to a centroid, also holds SE of each point\n",
    "    centroids = createCent(dataSet, k)\n",
    "    clusterChanged = True\n",
    "    while clusterChanged:\n",
    "        clusterChanged = False\n",
    "        for i in range(m):#for each data point assign it to the closest centroid\n",
    "            minDist = inf; minIndex = -1\n",
    "            for j in range(k):\n",
    "                distJI = distMeas(centroids[j,:],dataSet[i,:])\n",
    "                if distJI < minDist:\n",
    "                    minDist = distJI; minIndex = j\n",
    "            if clusterAssment[i,0] != minIndex: clusterChanged = True\n",
    "            clusterAssment[i,:] = minIndex,minDist**2\n",
    "        print(centroids)\n",
    "        for cent in range(k):#recalculate centroids\n",
    "            ptsInClust = dataSet[nonzero(clusterAssment[:,0].A==cent)[0]]#get all the point in this cluster\n",
    "            centroids[cent,:] = mean(ptsInClust, axis=0) #assign centroid to mean \n",
    "    return centroids, clusterAssment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二分 K-均值算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def biKmeans(dataSet, k, distMeas=distEclud):\n",
    "    m = shape(dataSet)[0]\n",
    "    clusterAssment = mat(zeros((m,2)))\n",
    "    centroid0 = mean(dataSet, axis=0).tolist()[0]\n",
    "    centList =[centroid0] #create a list with one centroid\n",
    "    for j in range(m):#calc initial Error\n",
    "        clusterAssment[j,1] = distMeas(mat(centroid0), dataSet[j,:])**2\n",
    "    while (len(centList) < k):\n",
    "        lowestSSE = inf\n",
    "        for i in range(len(centList)):\n",
    "            ptsInCurrCluster = dataSet[nonzero(clusterAssment[:,0].A==i)[0],:]#get the data points currently in cluster i\n",
    "            centroidMat, splitClustAss = kMeans(ptsInCurrCluster, 2, distMeas)\n",
    "            sseSplit = sum(splitClustAss[:,1])#compare the SSE to the currrent minimum\n",
    "            sseNotSplit = sum(clusterAssment[nonzero(clusterAssment[:,0].A!=i)[0],1])\n",
    "            print(\"sseSplit, and notSplit: \",sseSplit,sseNotSplit)\n",
    "            if (sseSplit + sseNotSplit) < lowestSSE:\n",
    "                bestCentToSplit = i\n",
    "                bestNewCents = centroidMat\n",
    "                bestClustAss = splitClustAss.copy()\n",
    "                lowestSSE = sseSplit + sseNotSplit\n",
    "        bestClustAss[nonzero(bestClustAss[:,0].A == 1)[0],0] = len(centList) #change 1 to 3,4, or whatever\n",
    "        bestClustAss[nonzero(bestClustAss[:,0].A == 0)[0],0] = bestCentToSplit\n",
    "        print('the bestCentToSplit is: ',bestCentToSplit)\n",
    "        print('the len of bestClustAss is: ', len(bestClustAss))\n",
    "        centList[bestCentToSplit] = bestNewCents[0,:].tolist()[0]#replace a centroid with two best centroids \n",
    "        centList.append(bestNewCents[1,:].tolist()[0])\n",
    "        clusterAssment[nonzero(clusterAssment[:,0].A == bestCentToSplit)[0],:]= bestClustAss#reassign new clusters, and SSE\n",
    "    return mat(centList), clusterAssment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 球面距离计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def distSLC(vecA, vecB):#Spherical Law of Cosines\n",
    "    a = sin(vecA[0,1]*pi/180) * sin(vecB[0,1]*pi/180)\n",
    "    b = cos(vecA[0,1]*pi/180) * cos(vecB[0,1]*pi/180) * \\\n",
    "                      cos(pi * (vecB[0,0]-vecA[0,0]) /180)\n",
    "    return arccos(a + b)*6371.0 #pi is imported with numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据导入函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def loadDataSet(fileName):      #general function to parse tab -delimited floats\n",
    "    dataMat = []                #assume last column is target value\n",
    "    fr = open(fileName)\n",
    "    for line in fr.readlines():\n",
    "        curLine = line.strip().split('\\t')\n",
    "        fltLine = list(map(float,curLine)) #map all elements to float()\n",
    "        dataMat.append(fltLine)\n",
    "    return dataMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 聚类及簇绘图函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "def clusterClubs(numClust=5):\n",
    "    datList = []\n",
    "    for line in open('places.txt').readlines():\n",
    "        lineArr = line.split('\\t')\n",
    "        datList.append([float(lineArr[4]), float(lineArr[3])])\n",
    "    datMat = mat(datList)\n",
    "    myCentroids, clustAssing = biKmeans(datMat, numClust, distMeas=distSLC)\n",
    "    fig = plt.figure()\n",
    "    rect=[0.1,0.1,0.8,0.8]\n",
    "    scatterMarkers=['s', 'o', '^', '8', 'p', \\\n",
    "                    'd', 'v', 'h', '>', '<']\n",
    "    axprops = dict(xticks=[], yticks=[])\n",
    "    ax0=fig.add_axes(rect, label='ax0', **axprops)\n",
    "    imgP = plt.imread('Portland.png')\n",
    "    ax0.imshow(imgP)\n",
    "    ax1=fig.add_axes(rect, label='ax1', frameon=False)\n",
    "    for i in range(numClust):\n",
    "        ptsInCurrCluster = datMat[nonzero(clustAssing[:,0].A==i)[0],:]\n",
    "        markerStyle = scatterMarkers[i % len(scatterMarkers)]\n",
    "        ax1.scatter(ptsInCurrCluster[:,0].flatten().A[0], ptsInCurrCluster[:,1].flatten().A[0], marker=markerStyle, s=90)\n",
    "    ax1.scatter(myCentroids[:,0].flatten().A[0], myCentroids[:,1].flatten().A[0], marker='+', s=300)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-122.64973039   45.56231053]\n",
      " [-122.68117413   45.41970179]]\n",
      "[[-122.61260746   45.53042158]\n",
      " [-122.69000412   45.45689647]]\n",
      "[[-122.60390649   45.52793885]\n",
      " [-122.72366337   45.46052519]]\n",
      "[[-122.5978824    45.52454438]\n",
      " [-122.73504547   45.47487376]]\n",
      "sseSplit, and notSplit:  3436.25408356 0.0\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  69\n",
      "[[-122.43063728   45.44209414]\n",
      " [-122.44220459   45.47010425]]\n",
      "[[-122.376304     45.430319  ]\n",
      " [-122.60222708   45.52639194]]\n",
      "[[-122.4009285    45.46897   ]\n",
      " [-122.60576056   45.52676736]]\n",
      "[[-122.42811233   45.485694  ]\n",
      " [-122.60827649   45.52692298]]\n",
      "[[-122.4568086    45.4961344 ]\n",
      " [-122.61289026   45.52756672]]\n",
      "[[-122.4927627    45.4967901 ]\n",
      " [-122.6229109    45.53115255]]\n",
      "[[-122.50706986   45.50135379]\n",
      " [-122.63133966   45.53308829]]\n",
      "[[-122.51784582   45.50240459]\n",
      " [-122.63675731   45.535298  ]]\n",
      "[[-122.52181039   45.50142783]\n",
      " [-122.63815582   45.53678256]]\n",
      "sseSplit, and notSplit:  1163.36449048 1123.89900786\n",
      "[[-122.8261996    45.48416646]\n",
      " [-122.83187009   45.43322405]]\n",
      "[[-122.75085409   45.50423336]\n",
      " [-122.706063     45.42104783]]\n",
      "[[-122.7826315    45.51940375]\n",
      " [-122.69274678   45.43529156]]\n",
      "sseSplit, and notSplit:  545.545159923 2312.3550757\n",
      "the bestCentToSplit is:  0\n",
      "the len of bestClustAss is:  52\n",
      "[[-122.39681162   45.44293804]\n",
      " [-122.4124594    45.49271214]]\n",
      "[[-122.376304     45.430319  ]\n",
      " [-122.53036959   45.50561071]]\n",
      "sseSplit, and notSplit:  197.386364053 1887.33842175\n",
      "[[-122.76225331   45.57756954]\n",
      " [-122.73761142   45.42191158]]\n",
      "[[-122.78186633   45.56601667]\n",
      " [-122.72501243   45.45534314]]\n",
      "sseSplit, and notSplit:  701.319073681 1163.36449048\n",
      "[[-122.63036235   45.58347897]\n",
      " [-122.68235117   45.54164605]]\n",
      "[[-122.60553762   45.56130438]\n",
      " [-122.65834805   45.52160238]]\n",
      "sseSplit, and notSplit:  471.129691309 1523.82408446\n",
      "the bestCentToSplit is:  1\n",
      "the len of bestClustAss is:  17\n",
      "[[-122.5481908    45.43053643]\n",
      " [-122.58001327   45.434267  ]]\n",
      "[[-122.50322869   45.50324862]\n",
      " [-122.5701228    45.4966938 ]]\n",
      "[[-122.50031475   45.50438292]\n",
      " [-122.56480167   45.49551767]]\n",
      "[[-122.49720873   45.50440982]\n",
      " [-122.56047014   45.49674186]]\n",
      "[[-122.48186875   45.49677212]\n",
      " [-122.5537637    45.5051524 ]]\n",
      "[[-122.4568086    45.4961344 ]\n",
      " [-122.54681108   45.50346377]]\n",
      "[[-122.44609275   45.4903825 ]\n",
      " [-122.543444     45.50458364]]\n",
      "[[-122.42811233   45.485694  ]\n",
      " [-122.54055      45.5045746 ]]\n",
      "[[-122.4009285    45.46897   ]\n",
      " [-122.53692062   45.50548506]]\n",
      "sseSplit, and notSplit:  170.756708985 1464.75848757\n",
      "[[-122.81628095   45.61299893]\n",
      " [-122.7959519    45.63702685]]\n",
      "[[-122.7513405   45.5256095]\n",
      " [-122.842918    45.646831 ]]\n",
      "sseSplit, and notSplit:  18.7925736762 1690.92300467\n",
      "[[-122.61001423   45.51127819]\n",
      " [-122.68505559   45.50997718]]\n",
      "[[-122.60415278   45.53263806]\n",
      " [-122.67640925   45.54144513]]\n",
      "[[-122.60197859   45.53219924]\n",
      " [-122.67433306   45.54136588]]\n",
      "sseSplit, and notSplit:  484.796364548 1101.24415028\n",
      "[[-122.69503945   45.43175181]\n",
      " [-122.63871195   45.40935528]]\n",
      "[[-122.74142683   45.4623885 ]\n",
      " [-122.626526     45.413071  ]]\n",
      "[[-122.7597991    45.4622151 ]\n",
      " [-122.63804575   45.43816325]]\n",
      "sseSplit, and notSplit:  249.398639547 1337.12504998\n",
      "the bestCentToSplit is:  2\n",
      "the len of bestClustAss is:  34\n"
     ]
    },
    {
     "data": {
      "image/png": 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rjAyfYkbEUcM8wXkx/ouwSiC7rnvpeTC+5+N5Pttba4xGE2zHDQdeRSG72GN2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KYJlt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myc3yeZaLJSu3SFZJjqUkoGiEqwh02HYu4ygmt/eP0DT1vtFbtpoi37FPWHcR69GTXbGYTObI\nitg7Cf9j0Znkio3q7pMUI9h1hEFImuXEd8ieyIp8joUuHPpS+icjbMvk1u0jdE0lSzNOBqOygwmD\nkOl8SX5m/HPj5kEpz75+j4fDCd12k4PjE3Z3ekR3/Pz1Y59rPsNL05fvej+yNGM0nqIXChGSVAgT\nJkl5LcPhBN3QcSp20QXVCeKA6WxOksTomo5h6GiahmUZ5yDGcMpGv5cq9NlwV77wVH8bwcXvxng/\neTxAyIqCrmls7LQZDieYqsTjlQMiDRbOo2S6SlVTqToNhsMJGxttBgMhgW2ZBsfHA6I4IYpjTF1H\nURUqRERxzNbWhvCjXszRa+LXcvHCNpPJjGFySJLG5DkYWxryTCxc5/MlG5trA5q1L4Fbkgr7JyMs\nwyAD0QXECXkeYNkWN4enFau78mm3mkRRRFdZotZ3uOH7yGkqxheWRWVioXZUmloTua5iGjr9wZhW\ns85sNqc/GFOvOew0BAJp/OI+i9//5jmW/fr8NH/vG6yA/EObhGVVJ5GTl4ZC3U6Lk8GItt3EMHSW\nrhBXdJ0hy5tbfGBXo5VdYPA7LyG9eCxGEYUceg44P/EUyy2JjYcfYvDWdWRVJUsSsgJvryoy6esD\ntHmI6onnzpsm2SMbVG2dOI5FZyBJxHFKmmaCbxPHwsRIVSCnlNLQNLGHWS7FKDKK4jJxpGlGlgt2\ndZaBooiDa80QX2tNravTKE5o1C3hDphkVFcekwQCZ465qDPrz/A0FU1T0VSNr/zU6yiKXJIoTdOg\nWq0wHE6oVOyySj4vuX9+d7G1tcFkMqNRr5XV+63bB7SazXLkkjh7yLGHPvk6Xu3J8qBcP8e7+W9L\nsoQqCzDHnd3GWZ6EYRr0TEOw1Wdzlq7H5Uu7JUoqSRJG41mJslonk3sJPq45LesE8lzzmbIwWUuT\nnI1+f8hG9/y/ORW7BJLcryLx+jXmWU6302KxdAvVgVgQiXUN3TAwDQ1VVfm1X/t1PvtzPys4MO+R\n+N7rpf4Tx8ZGm2h2mz2u4fseQfd5bhzKLBcCKbWOSrGw03WN+ULIP29tbdDbaGOZBq7nCxE29BJd\nc3TUL1vq4+MBs9mCer3GbHUK/5N8lcXSZTyZE6cp+7dn9I9X9E+GLJeCSwhCfQAAIABJREFUT+A4\nFer1GkmSoKgKzXqVLMuoVSvYlpDVThSFFz70KJvGI4zHU4ajiXhsJDw6LhRVm6LIWLH4QJ9FQ40m\nM5HcpsIUCsRYbziYsPjbGxh3JI5zEaUYv/sNrAO3UILNMHQdSZKEZLgjFv6WZdJq1oV3NHBhNGZw\ne4snd8SSc/R7XxOJI8khSiHJIMmRkpzVH36b6nFO5dJFNh5+iCxJkM8sN9OvvEX8f/w5wee+ivx7\n30L9g1fR/p+XsV/u09no4W66ZbuwTmp5DoauoygyuqYVasqRsOp1vXI/cmckSUKeCWHLy5d2kSQJ\nTVep1qo0CkIhiGKhXnPIgGGUkAHLSGWz0aFZq1ELOmWCUQtp+LUw4lqB1vOD8oDrdlusVh6TyYww\nCGk163fBYs9Gq9Vg/8wOQVU0qtUKsnR6TGSaTdT4INbqrbt/rWHEYDBmOJxwcPuoNBb7TuLgsA+y\nhB+EJTGwRFKpapk43o1bUa1WhCw98GjlMV6avvzOHG5JusvobR3rJHXj5kH5b2/3GrvdFgeHfcEJ\nsU0cp0Kv1+XihW16PSGL4lSsMgH/y3/5P9DqdMrP+nsh3k8eDxja/HW8SGZfepRmV8yOL17YZmtr\ng2q1Ujq32baAuaZJWtzkK8h9JtM5rVYDw9AJghBZOW1TG406FcfGD0Isy2Q6W5SV7Po5bUmj02rQ\nqDtiNCILH4k8z3FXHr1eF01VyLNM4OBXPv3BSMBf5y7LZVQmOVNPsG1x/Yoic3GvSWztcOv2EUkc\n09to88qXj3j5S4dEcUIcx4KhnabkeU6/P2R3p4dtW7SadfG6TA15FtzXgjAfuxi6jlks3pNEeHcs\nXQ9N00oLz+TmPpXxlC/JmzzUEURM82BJ/ldF4rhXxCmrP/gWh//+j1kMBphVh9ZmF1lVUU4g+71v\nCsOuKEVaf8Up8W9/nbd+65sAdDtNTEN0IbIsI8uS8AgvOA6apgjgQ2HR22o20O/hBmdZJkEuXsts\ntiDPczwvIIljFFU9B0P1ZYULOz0ut07HHCczAY7QNa3sHDzPJ66dciUGowmmYWDo5w+fbrdFq9Vg\nUVTgZ71Q7jyo1pX9OhHt7Gwymy0Eeu5syBILZRtz+KK4vhOhLdVqNQTpsNtCNfS3lflQ3uZwPhtp\nmhEGIbJ0npB3Z5x97+6lXnvr9pFAgnlBySqfJCLhrA/+8B2k09ev4axB2OVLuyRRgrvyStDDveLs\nPubdIgo9sjR6T6Gt3h9bPUBIeUpmdZjPQ/Z26ueMWw4O+6iqKrSvnAqyItNqNpjPF6iqwsnJkqpj\n0+20CIOQMAwAmcxK2d2tkURZSa5yHrKZH7vljDcebtFs1ErPiZUnTIBazTqSLON7Pq1mgyAIWLkr\nwZ+oJoRhRKKlqInwMi87o62cK0mNF1/UefTRosVuN1FH32JqPoqurYQHglMhKzwTDF3DNIStbZZl\n1GvVcy38+u+ddpOldUJ4H8rChmmg6FrpZdDbaBMXI6G/fbnHD/zAJn/3dxJ7FzsEHlz2wbFuEYQS\nTFZn9ghvH65kkGz1aEowyzKITfLf/+u3d3qMUi7+7nUGvYd58+Epip6TGiYoComqoGUpkiyThFHZ\nBejFIbyGgjbq1ZICoigy7tLFM0LqsUoYCsn0xdJFQkJRFMIgxASOFyusLMV1VyyWLtdHMg/1EizF\nJHcyRskxplRHRiYjQ1s4xCQcJ2PQATyQYDy4m6gmZzLRUVzCbauOfU6OY3enVx6+Z9FUjUbtXEd1\neHQCCMSYtfM82vx1NjcfvevnvZNGU71WfVsyXpZmHPVFp2DowkHy6LDP7n3Imr9TrEd35fhKPzVg\nMnSVyWRGmuUkYcR4JEa67QLC7K68u3zO94/6IokU3fhkMkOW5HP2st/r8X7n8UAhkeptdE1FVuRz\nCqm7Oz3CMBI6V0VltVp5pJmYle/u9Fi6HofHAwzTQNf0UrOqf7wqiIfCsCb2xcx/Olvgrnxq1Qrj\nyRx35XPrtpD7cF3BDbFMoXcVBEJjSyvQXCNvJBbyAXRaDQajCWEUs/L8Uo7ClV8lVYYoaoBhGqhE\nwou85bNq+eSGMBeSpNPK69btI+r1WpkswihmODrdn5RwzXc52SWJoitLS7XRIIyYFWY97Tb84R9K\n7O/DeAztbsbjj+dYtkWW5XfxId7+B8mgKExlhdF4AhOPd9WekyTUcQiKgjwPMKMQzXWRLJ/Qlkjl\nlEavwaqoWNudJsvlijiO6XZazOZLGnWxsE/TjDTPcAKDOE5KEUDfFxL+k6nYF7mpRTSbM1+4zKZz\n3hjkSGR0622m2gmrbIYZ1AnkGNf08cyw/PN+oqaIMerafGs9glRkGUPX33b8kt/B9t7Z3mRne7OE\nz8b1R8sO5CwJ7p1Y2mmasrnZvqdZkqzIWIYhEpksiQX53yNxKGc64IMDYaF8rwV6q9Wg22miFLuk\n9hnui+/drf11+dJuOQ5bP77RrDEeTQU8e7nC8wL294/veuz3SrzfeTxA5MXsd90Gp2lKEIR02mKp\neHGvJw4rxDKy2ahxMhgThhHzuagG1cI977J6/fR5rZy4HWPNbfJib6ikErqulYxxTVNwKhZRAQdd\n2TNW4QyKs2NT22GiHKLEG2iaRsWs4Hk+Fy9s84WX3uITH3qk/Hlece4+/4EL4vviObz6x+meAYX8\nxStvkGUpkiSjKjKGKW7q/slIdFBhhG2b1By7hE9meU5qK/flaaJ0nYLr4qKqSsmB6fW2ePNNwUP5\n9Kfh85+H0UjmiScG1GoNfM8nyDLk/N3zAGeECC3LEHL473plOY7ssFt3cB0VOcyZTOc00yqjxYpa\nY5OqDk7b5PZhn0ajdq4Ls0yDxVIQNFcrn7yo0drtOnmWMV8sS4/s48UKQ1FwvNt0Oy2cap0XX9T5\n4efhi18EGLAl7wkPDAUub+5y4+gAT72/pLGOne6mWKDbtiAz9jYYDYWG09pz487wvIDVysOyTVFZ\nyzK+H+A4lXuOJd9umZxnOZIslVDaRqNGlmZMZoIbcydvxPV82vcp9RsGIfOFiyTLaKpSwmnXJMHd\n3a2Sh7HVaHLj2/v0um0eT67y0o2Xedy8iqpKyKoYH6dxgm1Z5xJbs167K9HJiszmRofpdF7yZJCl\nspBYvxfj73zt810f7yeP7zBs2xSIK9NgNJ6KFliShSBiq4GmaeRAs1lnMp1Rr9eo2JZAW4URidYg\naTzGrdtH9Kp1pgcLrK7Bcn9JpkCURmxtOxwfRYRRVHhWB2iqJiRJIodMj8h1mYxA+JDTJswiNE1j\nFaxQ3JgXX+1Tr5j8xStvPPBrVBQDP8qx9IwkFfwRgdqKOS5GC8OR8IfY6m1w3B+Qphn6w230n36a\n+Le/LhbZd0SuyfDjj+PtCF7LWmIeUlrNJvztyyTOJg+1Em7dNLj6SM7W1gb9kxXj8RTbMjF6jbdx\n6TjzcyTYlCMOi+/TWoOVd4u7Qbx3PC4HB3H4LAZzZEkWpEfToJnlpOGKW0dztrc3SOKc4xOX0J2x\nsdVBjiFfpRi2BSGE04hKRRyOq4HYh60mHr3dLn/3+gntPGaW5DQ0g6W7wPd8PvTMHl/8ooRlwag/\nZmevx5owHa9iduubyHnK8WLOwotJ5RUVzyZQ7q2Ou9PqMT9ZshyuyNyEhl3l8Noxek2hZbdZHq+o\n1G3SeUqoxeiqynQ0x6jotFsNVp5Pq1Eny3NqheTG/n4fsxDaDKS7D1fJvzu5tO2KUMEFfM+nrjng\nw7A/Kn3RAexMxx+eBx/0h2M6zRa6qZIaOUaskVs509mCXq/LeDQ9HS1lOUmS0D8RjP7eZkdMAyyd\ny4/tslx5VKsVNucdXs2u8VzzmdPr9hQUVblncryTWQ/gB8E7Gj3t7W7hecFd3h3fC/H+2OoBIk0S\nvv3qtbIVDQIxdojimPlceGsnScpRf8it/SMhmz6alAgdTdNQZYV2p4mcRUJU7mKPyXQuHNjmCxyn\ngrmtY1R1bt2aEYQR7UZDoLRuf4mNbovqRgVD1WmqLbSFijYXy3PP9wnCSPBGDIGO+sSHHmFeMK0/\n8uRlaraOWjj/PXH5VNfnJz71NDVbHAbrP9M0pN2oYJoGqqpw+dIuvh9Qqzq0Gw0c26ZRkMqyLKPR\naKAUFVn07A7xj14FXTn3lWsK4U99kOT5C6gFWCCKE7IsY8cPee3ahC/Jm3z80QaqqlCp2DRqteK9\nTTCKRWx4oUbyY1dBextcvK5Q+2cfxfqpF0obXIDtJy7dNYq5O3JWpszBoVgqO45NkqbsHxwzmRae\n7qrEZDqnt9EgS1fkpsbRysesmwRKQm7k5EaO3tQwmiZaXQdbQaoo1K5UGWo5dkuHmsZDT+1htSI2\nL2/Q297CCxa88MKK7e03kDQZTVc5OOqj6SqZkqFVNF7zDpmrLnktRHZULjy2xROPP0Lelu/6qm9W\nmYVLdq5skBg5ARFW22B3b4vBaoLaUAUxrq6IvZau0t1uU6tXkRVZQFtlgUJaf1VrtpAk11XoPEFl\n/jfl96quotSVu78cU4A+bJN2p4nRNDCaBt1LHabR8tz3Vtc+97X7yBZWV/y/bZsodQVVV3EKT52z\nY6ZbB8elD8xatHF93cgS1WqFk5MxF+t77Ji98yMsSUCKff/uRHx2ab4Ox6ncxXK/c2Jr2yaKorBc\nrO5inr+X4/3O4wFCkmTqtTrzxZwk6qLrOpub7bIiSdO0hK0eFcSlsyErMlZFLO7yNKHbbnJ8MBDO\nhAVLPXU9nKZN067TchrM50vCKKLRrOECk7/+Tdof+yx5Nqfi2DSaNQ6PTgqCmQxkKKoCkg0EfOPa\nrfLnm6ZKxa7ghaKqi1JxiP7Ep57mD/7s62XS+NSzj/MHfyb8NPwgRtckdrY26feHBKowIXIsiyCK\nRDcVRsSx0N2qOhXCIKJaq2H8zHPEj+0R9GdIkkyaJKwqKpUntpgrKtVqguSZpGlK/fotviRvggQ/\n9H3C/KleFT4i09lcJKWLGxxdF7IZe7tb7H8CMllG+g+vIclSmRQkCaqffY7Kp09luk3XZb5SUJ7c\npvbPP8rycy/duytSZWY/tU3tapfFYkm73cGpmAWYQQZyZFkqOsuc0Vi4NHaadSbTOTeHkDjC5S/N\nBBDB0HUhy1F8Tg6HE650i4SI2CNdtaB/MmIwCRn6Cld6BhSuf0kiRilhEBKEEYZp8OTGwwDMg4Ca\nbpSVcj2uEFXFErwpN6hbYnyyt9NjNl9gmQZL16Nec7hx65CLe9vM5otSLfpOmOp6QW4YupBkkaR7\nVuXSPST9ptMFzTsWyOsR1p0R34Fays7sDoFCQ+zuxznO3aOyjfswc9rcbOP7ITvWFsfBgOur2zxU\nuVAi4e5ktWdpdtfSXFzX3agq6W32fdVaheVidRf7fB3CKOy9I2PyfvL4DkPVC3OhJEEpWKFrNqlh\n6Fi3v8T4NrQ/9tm7HrtcrmgrKv3BuDRsWiNdlssV1aRCmCT0+wN6G20M0yAMQtof+yyHRyf0T0YC\nhXI84OKFbWpVB9M00DSBGll5PqYpYxg6O82ED1y9yHTu8o1rokJybB3QGU1XNKpV/vzl6zSqYmzQ\nqBr8+cvXeeLyFr2NNv/x+l+WIIA0y0gV6NXrDMYT6lWHNElpd5rMpgvMoqU/GYzKG0p7eo/ogkio\nKkKx1Q8CFFWDYI+6MiJyeqTP7PBJQMrmHB8PhMPg0sWp2mIZmWaMmXLxwi4geDCSJBF/9ALqhkM2\nXpUihZuPXcB48nTJqjz7NFtf+zrBQ5fZX6y4UiSVxW/8NSAhSZAVu5Dwh6/gfr9DZVnoXRXP0Txz\ncKyBDsPxFE0TpLc0TelttFl5PnPfL+yVJI6XHokSQppCQQbcqQvC5sUL2+eIe73NDn54xNCHN/sh\nVzqUdq6NdovRRHiLeJ6PqmnIb/zHuz5fZw+yOE4IgwhZEQfS2gtGKxjVmiY4Q8vC7+XGzQM0TS2f\nYzZbCHRWnr8rACJqfYj9g2N6m90SSHJn4lgrNd95MN953SA+I2uuFAhFa/0dbGFBHPCLpXvPQ/5e\nsYY1P9t8mpemL3PBEp+Ze13f23E/1rE2rQLKjvqe1/gOUFxNU5HvB0L4XRLvJ4/vIOq1OoeHJyjq\n/8/emwbLdZ53fr+z9+l9v337LgAIEAQgkiBBiZJtaWTLY9mRbNmJZ8aueJxMKeOJa+KJ/cFOPB88\nEyWVxMtMEqc8dmJPeVyOJ1ZsU7KckiyNNLRkLZQoiQQpiiBBgADu2rf3vfvs+fCec27fBSAgyWPK\n4VOFAnBvn+7T3ee8z/M+z38R4oXT6RxVVxkMRsJjY6lM59WDxyz2XwfDEUXdpVjIMZlMSWUE/jxi\nCAt2cJt8LiOGgaMJlUoxTkwJXbC7M+kkSFNmhTkZNxXDH8eTOf1mH0PXWV7OYns22USA9pBC1S0x\nmwjF3U63y7Of6yIRkDZVVEVCdsb4Wpa9QFTYjU2BfvrYB59lblkgKVyRZRRVxvcbYsEO4MG3LzGb\nz2MUVGNP+G2osughtzs9yqUCnuvx4q4PTPjbb5H49F9UKZUEourd7w64elXMUlRFwIu3d5okDANJ\nAiObopXukB2nUVWVcj6LJMGequCfEmrBjuNinDyKzlEuPcypZ57npVQNillS776AupLHawsOw87O\nHn7eYOl7HqY5u0LCMJhMJvHCa4T9fVkR7SrTTKCqKqVinp0QdWMkDCGQaBrMZpZQ+A2giI/tuQSS\nILiNp1PsgRO/z0XfatPQAZdaXkXBZm2tzmQ6w3VsEroOumjRWHOLMdB56oNHEshoNCGVNOl0egvq\nsGJnemtjC0VRQ7a7mBnAPrtdU/e5H7PZXCzECwvaeDwh8I+yuX0lwRljA0tbPuCXEempBQTUlsox\nh+RwHN6N9ELF6CiMhEFjry3urQV0XzotxED9QBiJnVivH4D73olrISsynXaPUrkQI7DqHG9vC6Ec\nSrir6bR7or01t2JuRrfbp76yhm072LZDOlvAnovrKwh89ESaoqIhSzKOa2EkUviBhGONb/uar+e4\n6+QhSZICfAXYDoLgByVJ+j3gncAgfMg/CILg8m2OzQJXgA8HQfAz4c8+DSwDoakB7w6CoHnc8a+b\nuE1REFUqCUOnPxjhui7TtXeSqHrsum2KboZCLoPjBVih3amkqAdIWyBITo7jMp7MyWUzcUtE11Ss\nuRX7P7c7ferLVXq9Aa3mnFwmjYWFFvb/O50uqqqgKDKbu0MMXceybfSCxvbOHiv1JfrDfS5AgISq\nuNiOTBCYmM4QGXDV/SFmzBEJfBzfRyA9AxRZOcB3iOYXhVyG/mAcfzayLPPS1oThzOex2RY8/E52\ntiXOnhVPu7ruAxL15SrT6SwmC9aqJXqDEUtVwSjuMGeedjC9pAC5eB6uK0y0ctkMw9GYVqvLKKty\nn7FQgYaLk1HWudYdcqaYRXmgSreoYpoJMudKdLpdNqwblJUyhqFRLO730Y2Ejh/4jMdTiqUis+lU\nyGS0u5xYr7O9s8dsNkdVVSbTmdDKchyWCzl8L2A0nqIqCp7vU1sqx+gl3/fjXro1t1heOQHITKfQ\nH8GqMiKTSXFrY4eVepXNrQalcoFGs8OJY3a1/f4Qz/XIZFKxtlOUyOdzi+lsHi+ovXC36Hkuti0M\ny6YLsNRFZdnd3SZ+EMQ8kcH26MhrR62rE2vLsV9GlET6YZI6PHBejMWks7pSYzazDrR4IlZ5qVxg\nc2uXtdCLo7rwnNECHx3f7w/JZtK33TlEMxMIIbw8y4q/dGxrrVIp0mx2kCQpTiKLOw7HcXnh5oTz\n6wW6I5du0+LkUoYrm1Mm8xT5Iry847FUUMibGjf2bG7tWaxVdGRZ4kTVwPs2MvS4l53HzyISwOKe\n8BeCIPiTuzj2fwA+c8zPfyIIgq/cwzn8tcZhZczDCIpJCI0FyOeyzJJzFMBwxcUtOy6aprK2ukzQ\n2hUMdM8X4nxBwEq9hqYJz3PdMGK5b9tx6fYGsf6PLEuxhpVpJpAVhXa7i+t5FPJp1lerbO+2MY0E\nruuRzaSAFAPGrNSXsGw3Jjj+2A8Z2MVLJG2B0W89v0F2MKPnpEkZAZ8dBbimyYUfvIAxnZBJpTB0\nHVmR4jbKSr3K9k6DuW2ja2rMIXBch8lUtPZ832c48/lufw//8Udot28gywqOK9z3sskC1lym0+2T\n0HVSSVOo3SoKruvSafewHQc/CNDXPSqpNI7j0uz0DzCLE4ZOLpdhZO0nx8jtTrn0MNXLL7BpVqGY\nFZL32SzplFADuHD+fp7uPctDhfPh9xtgu2Iu0ukNkBEwUsdxQZIwdB1NU4WfiuuQy4pbI5vL0mg0\nY6HKTojXjGx29/Y65HNpur0BmWxWLD6tm0ymM2bzXQrlGrQVkkmxaCeTJoah0+70haYW+60zEAtz\n1KqJ/o501ECoNuuGESch/ABkiaRpYCQMfE8jaYrd72LLJrHA7E6lkmSz+zi1SukOUFpJip8nmh8c\nbiX1ekMm0ymFfDbeYUTfY5QYfP/oTMq2HZqtTpw4bhfjyRRrZsVeO1ELzQnvwSiiZLa9s0cmnaI+\nXebLXOYtuUduC0dWFDmeXy0y3FPpLJPdCcOpS3vocG41wQs3J/QnLo4L3ZHLRstCUSQuv2rxfY8W\nyJgKxTS8sGEzmfl3g3B/3cRdoa0kSVoF3gv863t9AUmSHgOWgH93r8e+3uOwEUwxn6WldmipHeaF\n/QquqQr5hsWLVlJEb7lWLbG2uszaWh1ZkdnabgiZk/4AXRMaTpl0Ml6IXrl2U6BHJBlFUeiHcij5\nbFboQyk2kiJaR81OF8d1aXV6NNtdFBSaagdZEvDYQsJlk/tpbIvdz+bvfxb3//w8vf/nVYInnmPy\nh89j71p4fYuc3cT1A9qux/Z0xubUYqaJyrLXG6IoKqqixmzx4WiCpooWXi6b4dWuysP+APXS/ew1\n28iyQqmUI2kmqC6ZsY9Gbaksbvj0OP7MlqplxtMJtuOyUl+iZBVoqR3a0x71SP1U7bA7aIkq3g8O\n7DpWV2rs7XXo9gekfB9jyWRnKJJl2jRi17sIdRMP3mWJRqPBjZtbVMoFSuUCiiKTTibJppP4vpCE\nUcOZV8RENkJnvGih10N+TCmfp75cxfc9ZnOL5eUqo+EwRusUi3m6vRV6bYV2G9LpFpIs/Eosy0aR\nZarlIrOJ0P0CIUOeSgml5Gi4DYKLpKoKJ9brYuEOF+KIfAcHdwHHVeaTyTQW6ltMHPcS5m12GoVC\nltWVWqyqsLvbjD1EosTQ7hzVrdJ1TQAQwnCc46VFZEnGD1fiSWhJ29hrH7gHo90QCPJjBFqpT5f5\n8uByfC0feD9mgla7d+wOajIecnFdwlTmnCp7WPMJZ5Z83nyfzHeclcnoc84WOpwqe7zjnMp8NiKj\nz/E9jwdqPro8Rf02wr/e7an+b8B/g2icLsb/KEnS85Ik/a+SJB35NCVJkoF/CfzCbZ7330iSdFmS\npF+SbgdReB1FcKgsOPx/vgnN/kajxWChPTObz7AdN97tBAFsboqbS1NVRpN9Nq+mqZipRNz+kMKC\n7cR6nVRYUUqSRMkVVZIiy9SX0pxKD0hQ4+WXoffbn0X9wiaSF4Drx38TBEjdKbMvDlElWMskOVMp\nkPNcTuQz3NjeY4DEXDeYyjJuOoNjmmiqSjHUZ4pac4WMSiAnWV2pHWAgz+fihLe2G2zv7DHx9hOv\n47h0un1q1Ur8GMdxSPtpzMDA9by4jy6ZkM9mICSk3bi5BX7AYDAiIMB2XIKEgTKb0dsO+8yyxFK1\nzGQ6w5TFgvzlwWWe7j3L071n2cvse3p0u308z2c8ndLrD/F9IZE/mkzwfciEsM3RaCJ2jLbDbG7h\n+z7NZoeZJd7X8nIVSZLo9wU0e3FAfd+pEXq6xZ4leDnptFi0i4UcnudhJAzMVAI93PFE33+lUiQI\ngviz2NpusFJfEuq9k/mxMNPXimwmxfZO864InwC+pMaJMBIPlGQp1r5aTG5RLIetteXlqiCgNlox\nlLVc2m8HRTEaToRvfPh+DkNqo3symUwwnc3xXI9cCAbRDg2y/UOdgyhpra7UeLzwKM+Mvobl3fvn\ntnAyR3503AzG8+7NDfL1Eq/ZtpIk6QeBZhAEX5Uk6bsXfvVPgQZCVee3gf8W+O8PHf6PgY8FQbB5\nTG74iSAItiVJygBPAD8J/P4xr/+PgH8U/ve3gyD47dd8V39FscgPWKqUYu/lw73Zw1F1D0o1DAYj\nIpPKqIIp5LPIisJOiDSKUEWj0PN8PJmi6zr3nzkJwGQ2Q5YkzISB67riJge2toakQ69spCn5okq+\nUItvNgWFZPdpGsEK+erb8LZfYe2FF7Aub94eJBiA9pHncXIak1RSWKgmDKbTGUlVJfC9uKeuEVCq\nLTGdjOIq7+u3RjzsD+gVK4x3tjhVX8WaW7S7fQGNnInkVikV0DSNvWYb64YrFGfHUwq5DEbCIJdN\nh7utMXIaKENnu4+5Etq4JmW6TSE86bjCvndrdy8e7iqKjPrgOda/8hzm278L17H5pV/6Z/zCL/w8\n9ZU1ynYVS5qTVjNMpzOCwCUwwCgn0HWDbM6nXKnS7YgKVpIkpuF8o1jIkctl0FWNmTUX0v1VAeMe\nT6Z4tiMQZMOxkLEfjMhl08wtIVS5img57e4245biZDxhaanEYDBCUTXc0IsjalOJNpfFrY0dYemq\nqbQ6PZGcq2Uae23KpXzcNoucK6PhOYgWqO8Hx4oKyorg9twuhMgj+J7HeDqjkqrGi+PicUtLpQPz\njChu3Nw68vy1WmXfxRCx+1g0k5Jl6UDLKptN02n3Ysl723HitletWhKCkFlRvMysg4lgseV0XERD\n9AuZsxiBEfuc6LoeWtbKMZYgchldjL1m944yLcfFa8nav57ibmYe3wW8T5Kk9wAJICtJ0h8EQfD3\nw99bkiT9G+Dnjzn2O4B3SJL0j4E0oEuSNA6C4BeDINgGCIJgJElUnAcyAAAgAElEQVTS/w08zjHJ\nI0wWf20J43CsLLqwhXGnxHFc5HIZOCRbEMlyr67m6HdtOmofpSV0hwxDZ6laZnunwWA+p98UB7uK\nuNA6nUHc2vI8j8lMPFe0A9lttSknZiRG2+S8BA3jQmwKNX1+g/LXNl77pIMAdTiPYZ0H3k8mLUx1\nQujjdDJie7fMyy/D2hqcK7XZXcog2TYa6gFS1eLCbiQMbm3sUCoVSacS+J6PNbdjpdqoACkWc2iu\nSr8/pFROM2L/nLyqR7fZjwe7i4l1dXmJ3d0mVcS86jd/87f4qZ/6h/zar/0LfuVXfoVf//X/nWw2\ny8mTJ3nyySf55f/5f+JPP/JnXL58mQ984AP82q/9L1SrVX70P/mR8CMJTZIQC1e/P4wX6IRhxBVz\nLpuhPxiSSacEGiuXEYithIFJWEC0xPkvL1fjzyefSzMaTcTju31K+Xw8vxGfQz5eAKPBbfSaO7tN\n1sLHra7Xj/ArogG4LEksr4rWX+epDwL78PLFFs/h8AOxI0inU5imEcuJKFYPzzg6DzmxXhfIwgUE\n1e0SUwxbH04wEppALh3D54iQUrquxwliERFlJAzSgXieTDZFITRHW12p7bsM3iaiWU2UQM6kTr1m\nIjjcQksk7mxle1wsyt+/3uM1zzQIgn8aBMFqEAQngR8HngyC4O9LkrQMELabfgR44ZhjfyIIgvXw\n2J8Hfj8Igl+UJEmVJKkcHq8BP3jc8a+3eC2s973Gjd4Ix3HjxWI2t5jNFMbTGeNXxwxGY1RdoHd2\nGk3W1upkdWHu5KTTzC2L6WyG4zoU8jkCPxBWtJ5HTWlgdJ7H6DzPWqJNZ55kXnkbHWkN0zTY2W0y\nVjXKsvmaGH4AKQgIApEoqqVi/CdpJsgXsmTTKbKZNMVSCUkrcv58wHd8l08yCVLYcvI8nyD0LvE8\nP1ZyPbFejxfEE+t10inhMuf5PmYqgSRLdLt9spm0GFiGVaiZMBgZU2wOVpSRlPutjR1UWSEf+pk0\nmu34MYqi8L3f+73k83ne9ra34XkeP/uz/zXf+Z3fCcD73vc+fvO3/g9OnDjBP//AP+OZZ57hn/yT\nn8E0zQPtDtNMkE4lmc3mAiZs6Pi+z9JSSYAfwp2FoYtBfmRqZCYMBsMxrU4vlvFv7LXpdvuoioKM\ny7WdEd3egM2tXVJJEzOVwHFc0f6JdsGH2PKLC/5esx1fs1HiGAxGzCZz/CCgkM9RLh8l1MneUXb1\ncZEwjCOFkzK6foBB7boum6EgYSr0Jn+tmM3CNqQMuq4fmzgW31OUOMQPJUbD/ZauaRrx71Op5L7T\n4x2k1IED0uhvyT3CtckNuraYwWiqgW6I4svzRVuusdfGDcEViqKhqQbFYhFFOSh7H/3uuND020vP\nvx7jm+F5/FtJkioIAOtl4KcBJEl6M/DTQRD8wzscawCfCBOHAnwK+J1v4lz+g4SE8C9WNB1ZkgkQ\nOvxffMXn5JLBiarOSpCMrSSjytRyxwd0cay5hQ6cKohe7GIfdHdX8Bp83xOWl3Mr9ra4cXOLcqlA\nLp0kk0nS91wGSJyqFPCsETX3RdxcnV5QojVWUSuiohwMRuRzQjk1qp6cdBqCgECR71IsUIQZInSi\nsMKBav6m2L18WhYV/2OrDiNLwTAUAr907FoX2ezatoMsE7fqQCQpLQQMuLZLPpel2epSKuVotbqk\n0ykmxhSNgzfn5NU5Rk5ne2dPLOThd7C6UmMSDrTdTpe9r36V2toKge/xwFsf40pDJPD7+gPU9XWy\n6RSnTq5TLOa5cf0G49qYF+0r/Oh//D6u39igtiQS4mA4JpdNs1QtM53bjMdjobBsuxi6iud5uKGt\naYzQKeTIZFIC+aMo9MNBbQRFBdAzc559uc/3XqoLK+HwM6/XKkymM8Yzi1Zrv33m+z7FYh7XdRn0\nR3E7KmJqj0YTkeBcF9f1yKSTeK5HMhQ9LBbzlL7jx5Hp43N3i1jCNI6gl+TAjRNWhCZUFFkILCYS\nVMvFY1tYi3G3O/moldXrDVEVhUw2hcx+MhkMRvGuLSJIRjuwE+v12Hp3MaLdbYQ+A5Gk9qXcH8Xy\nFL704pjvuXiCv3huQC5V5tKZNJ9/cchjp+Brmy4Prso8+YKFIkMpq9HsO7z70Wy8NiiaLo5NK1w6\nneaZ62PA+nYimN9b8giC4NPAp8N/v+s2j/kKcCRxBEHwe8Dvhf+eAI/dy2u/PiJAM0yevT6lPXTI\npRSKGQ3bnVNIqwynolpJJ0RV89KWTSqhUMseRLbYjkvg7W9xx5M56VSC0WgSX8xb2w36gzHSCtQy\nYlHZ3tlD1wQ/ZGu7ga5pnDeaKK2XmVfexrzyNgCcbv+A10gul8EPb2JxI43REOZGo7mNzl1cs5KE\nXs3S6w9xPQ9VVUnoOvlCFu8rzzEuFWG5Ai+K6swKkqytRzegzYkTeW7cOCoxats+uq7huh7b23uY\npsF0NqdS0ZD8KVvb3bi9kU2nYoSb53koA4WSnqcVotkAUvclcDs+xVwOy7HZa7bFuRo6akj020yn\nWW93cDWVnUaLUq1Ma7ov8T6bzTh1cjXeESiKwtp8hc3ENtt2k7XVOptbO6yt1kmaJoqi0On2URQZ\n13WxbJd0SqByFiXBI+OvwXAU82YURWY0nrJk7psTBUEQJz3xXn3GkzmDgUAmRS25TkeQIiuVMv1+\nPzx3CzeU5ncch83tBtXSvqFRJp2MjbeKxTx+uAuMkozPnecAi9FsdeJzicKX9peUpJk4dq5weDYA\nx4sOLrb/x+PJkR1IBP9dZHRLshQ/Npk04zZVdB6u56HJ4TV0B7HC42C6jxcepWF3WDE1TtcNPvbl\nLg+eTLJW1tnuWAwmLrYNl04X8Rybat5HVyTKOY1yViXwPBzXQVYUru44DGcu3/1who3WnLWyQTnz\n7dOygjcY5vcckiRz8ZSB76nIisJ4MuW+h1IgB8wdGY05spTAdR06I5ezyyqtVv/ATZTJpFDmNtHG\nOR3qXaWSpphDzOYoikwymSDjpvAkHyWQmSVMNqcWTC3O62KoeIOzJJMnKSIc0bqdbuiBnYlnBovy\nFEkzwYn1VTa3dqmWi3jrLgNZFvIZx8TbrovXSfztc6gXT2Bbc9yZR22pjPvydbzrN1DefBFlMiel\nG9xXzyDbg2MlHk6dKnLrVp+EYaC++kmUc+9hPJ2yUl8Kh74eg+GYSqUMvsRw4qKqCq1Wl2wmheXY\ndLb75LIZbMvG830G6lF2rlqSGTNBaSoHKv5oaTp1chU38FF295jNLVpTG6tvY+R1goTBubOnGY0m\norL1A4E4kyRWpnW2kzuknSTFYkF4tXe71JYqpJNJoVvW7aMpEqPRBE1VcFwvLgh8zwNNxdB1spkU\nvcGI6WwuqvDWZtyrH40mqLJCrSiuEEWRGbkj5JTMcq5Cs9mhVMrFpNFI5mZ7Zw9ZEuixSIPqxs0t\nmp2uIKGtLoMsETWqptM5tm2HzHwHQzm+4p9Mpsiysj/jCXwsyz6SOAC8zOn437cbSFfKBba2Gyih\noVmj2SGXTSPJQpV6kU81GI2QJIkgCA74hciyEndbF33IbcelWBSzIUmSjqCbDsDlvwGAZ00v8VT7\nad6x/HaWMh5B4GDNHVZKGaqZAM9z6LT3SKWSXKhDp92FuYIOKNoKzZ1tgsAnJ8Nb1mBna4IC2HPY\nGgRHEGCv53gjedxDBMB8ts+s9TyHbruNES4ON/c6nF4qYYXCg4+flvE8O+7BL8aVySrn+SLT4uOi\n4vN8HMeJdY7yeYGSsS0bNW2SSyQ4U8yitZ4hMMtcsc8AsGZoGAmDGztbFMwsEyMBBliKSn+7QTpp\nIoVCfiBYst1uX5D9EgZbJQ35h94Ef/YCknv0wg2Aydkq1rtOYYzHaIoiZhZfeQ4yaTaqFeiNOFsp\n8+xzOmfPpYEqgTcAjr5vRZGZzmZkEX3nRZkLPxDeCf2+SBCmaZDJCGRN4AdxZZpJJSGToqP2cXHR\nw7RgYyGj4Idi7ZYiFl/fC9jdbQrQwe4ea6vLdFMpShtbaOUK1t6MXD0F4zGzE2uYV66SefCcqPZH\nY2q1Cru7TWRZoqyU2ZObXMy/iY1bW1w4fz8vXnmFtdU6g8FI2NUqCt7cIhsCCQ63RzRNxUgY1BLG\nAa5BtPhHgools47leaRTSRrzDqdyotWTy6aRJYX+YIBhaNRWzpBLK1iO+CyHU4+MPufFbYlcbo31\npSSdboCWgLkTkNAkfCQ0kkiGj6HKaJpMs++wUtLZ3dkWrxFei74XxLLyUUi3Gex6RgHZm+Mrd259\nra7UcD0fGWL9Ntgforuuy3xu3XbecbuIWn+FfDZmy/d6Q2RZEkCVb0E8XniUz+5+7oCU+3w2wrYd\ndF0jFc7ATDNBOp2M39t8Njqi93U4/kYNzN+IO4ftuNy4ucWNjR1O3waNES0c1twSj725xfnUFtfs\nk2yGw3JZkVFUBdNIUKuW0BSJWrUkzGU6fZpqh0Tri+xwkpfsPGeKWcz5LG6FFMwsg9FYJJixYJ/7\nqk86nWQ0nh5ITJYlVHpbrS7JfJ7Sex5m+q5TQjZdlQkUiUCRQJFQ3nmG8k+uc60tU6lUGDTGrDZb\nKG++yM1KBVWWOFMuMbFUHnss4PIzMpefkZEl2Nw4SvLyPJ/s7ucAUF/9JECsoLu2UsPxPFZXaniu\nR683JPAD+r0h85nFaDQRrYqwpVBWKqxoa3zqj56k/+oQra3xif/rk1z//E3q8hr1ap0///inaHa6\nmGaCD/7RE7z66g2e+NCfceWllzEvPcq1l17koQfX6G5ssrxc5+or17mqKPz5xz/FE098iEKxRKvd\n4/Jzz3P5ued59lPPMvPn/MVnPkdtpcaff/xT3Lp1C0kWZlbRDCCfzyJLEn4QUCwVcRwXOxx25zMa\nSFMae20GCzIxK5ksy+kMq9kc6XSWkyfhuWcUMtk855ZOCYFMW5A+gyBA0xRUTefTL/SxbQtDkzE0\nmWJa+Io/cjrF9YbDU1dGXN0bMx72+Oq1Cd2xz1NXRnz56oir23OSCYXPvTDk5t6czY1b+J53ABzi\nHcP0vqPXtnR7YcAoXFf42sgLKLtFHsg3y7ROpZJYto3v+WiacmziiAbc30hEM5CD8v4LGmVhwjiu\n/fU3Jd7YedxDSEhsdFVOlny+dN3lradVJsoKQ8ujXtL54is2f+uhLBtNi5t7Fu98SFQZn3y2zyOn\n0/SnKmZRkL7+slWnVtAxVInRSCyymUzqCGsd4Ix+k+3GAzRrD1Lx0tg7e4wnAtXTbos2lYDqymJ+\nkjTRJajUytzoW5BOC2SwLITgomRWqRS51upRrBSw3rKCV0myksjSH4woFHK0fQvjQp1KosXDnQE8\ns8cNeYn73nyRa90hD6QcXh0HtFpNAj/gs89ZrOfHJFMZdnY96stVbt1qcuKEaF94ntByGi6/nUJO\nJLtSqUir1UbVdRzPx3Ucbm3sCCa25zGeTEmlk7EMSBTdbp+rr1ynVCpRLpep1arMk3NWVla4fPky\nX//613nXu97FIxcfphj2/FdWVnjssUt89avP8Nhjl/jK17/Oe9/7Hn7nd/410+mU6XTKgw++iZdf\nvkqv1+MHvv/76Xba7O42qFarvPzyy6ysrPDMHz3Dz/3cz/H0009z7tw5Cvksn/jEv8OyLN7xjrfz\n4pVXuHD+fuGBIUkMB8N4sC1LEkgJPM/GtWxUVWNrY4fTh8YATq+PA4yUAVtbLkqoSGDoKvl8aNAU\ntoW+/yLs7OzEwoAA09mM7c0N3noqBQhyoeMonM4NSClwtjSmVK4yHg2Yz+CB8pBsNs14rMazhAgK\nC2LmEOlf3TGCgJ1mP+RcuAc4GhBwYn0FEOoM9oKBVHTerXYPGTGPOK71eS8RtawU5fhlLlIAiPTe\nxOkH9HpD5vN5fJ8cN1iH/QQiAW8pPMri5LDbE3yj1/aOEUWlJMsx1P3bJaQjLOk34rbx6Jls8C9+\n+Ze4b8mmVizj+QGffWGI7fqcXTE5UdWRJJlXdmacWRaIqc22x2TucXZVrA5Xt2Zsd+zw8Qa2A4En\n+vaRJ7Lrefh+wAPmBkPy6JVzB85jb69DpVxgd0+QA1KmSSqdZDqdkQm3+QE+SC43+jZrSUN4mBsJ\ntNmMfLVIQtXYHE5QxmNMQ8fzvNgq9/4zpwSHopgnePZrgJA1//KVJsOZz0Nnc+R0jUaoXJpJJ1ny\nXuXjm2IBOFeThFhhJs1gNI7RY3PLRtNUFFnIu6eTSVRdxw0RW+PpNHYVLGQL+IETG/PkMpmDKJyQ\nRe7gotdvXwNZGy6qomBZc06sr9Lt9pnO5izv7vFyKom+JBaNM8VsvOhH7Oj1dofuiTWmIYs5QugU\nS0WazRaZdIqJPWNb2yHlZFk3azGbXsBue1w4f3+shkwQ4Hk+KytLbG03yGUFhHg2m3NCeZUN/0ys\nsPv17f2FtWJ6ZMwg1joLgoBMOsXcspnN5siyHMu7R+KaAKNQbj1hGDHKLiIYRjOBIAhYXanFcFpJ\nkmKDr2jBPM6X4zBnI4pE64sxcAP2ORbHxWuRayeTKdOZRaV8d5a0dxO7u01hg+v7DIdjPN9HkeXb\nJopWu4dtHz/fiSJKIIas83DuTQBsbu6SSBixRfWdwgpN5dKpFD/8U7/Gs9fH3xbblTeSxz3Eo2cy\nwZMf/OeAuKgOX9Tb23vUapW4PXQ4jEQaK5Ro1gYv4eQOJoXITyEIAu4zdukmHogXo6g6mksWrY0O\nfiDmB57nU6uWaLa7JBMJCoUcnW6fdDLJ9nDIUjqFbdkoipBG33PEVj2hyKjzOamkiZbM8LE/+wim\nafKOd7wdAK/ZomAmGWZSFHJCZkRWNV66uce5k0s41hQ/8NnablDK51ESJaZT2NqQWV33ScoDbn59\ng2wqwzQQi6+ZSpAqpOn0O8iyTMIwSKVT9Pt9NFUjlY6IXu24Wk0mTcwF2GSn00UPh56ZUIiw3xey\nIYcfC7DRNxnPPdYrBstFHVUW17tjT0mYGV7Y3mZnL8m7L+1/l34Q4Do23YFKraJw/dq1mBwa6R21\nO30sSwhBzi2bVk4k8rJSpiIV4+/txSuvoCkSeiJJwjBIJHRkWT7i9220vsQt/zS15P7Pt4YDXt6D\nlO7yXQ8GeKwBIjEt7jLEZ9YNVQi0eLDtOC71WgVZUZhOZ8e2biaTKe1OP5ZND3xfvP8QzqupGsPx\n+Mjiebvkobe/gl1+c/z/41BSi3G7qh6OJp7DsOC7jVsbO2TSwhcm8lEHGI5maKpMuyPuHUmWqBUE\n2KXb6ZAwk8wsF9txqJSKqNrRnYEvqTw/usrct5CReXPh4pHHvFaSXIx3/dh/FyePk7/40SFwN4Oa\n0c1ffu/dmZh8C+ONmcc9RIBolwBY1lHNm5WVJXZ2j+r3RBElDgDFPjoPkGWZXFLhPmOXG3adwXDE\nte6QneFEyKj3hrS3eqyt1cmkkxi6jpkwaHf6SJLEeDpjc7uBZds0bAfNcfFcj2wuQ74g5CyMyRhz\nPkOdz7Esm8FwRKfb5u/+nR/lwoULsZRF8cxp/uSpL/CHf/hBZFVjPBUto3Mnl9jriB3KbDLH8wSR\n76nPi0tpOoWlikSgQXIliZv3kNISSlZhLln0hkJmvlQqMresGGJq6Fq8A9E0lYRhxMkgesxkLM5B\n1TRUTWMynjAZT4RvuqZimiauc3BIX8yo/K0HcxRSGl96ecRzN2Zsth0sL8lfvjDgfK1GLqXwly8M\nsByfL7085PL1CV+8OqeQl5hMJqRSphhs+wGe6zGbWTiOg6oo2I5LNp3i8cKjnHJP0PbaXHGv8nTv\nWUajCRfO38/9Z88wmUyYzsQCfjhxRHFAiC8lyIcAqiIgxrc2drhxc4vaUvkIT6JSKXLq5Cq27YiZ\nkeejyTLd3oBOKO3f7w+PtFGGwzFJM4EsSwS+H4tPAqGqsUTqELS21erGw+jofoiv4eAgyzrwibWt\nFn044u+nkDvys4jkd3jWcrs5y/bOHs1m59jfgdgxRtpes7nF5uYurVaXarXKb/yr3+JLX3qafLHI\n1vYuT37hOV641qB26iE+9LHPMHFk5p6GnMjgK4kjf5BVHs5dIKOm8fH5Su+5I69vmgZ7e52YDHzY\ntvYOcbcT/m8NEuAe443kcY8R9XxvZzKztroc8wOiiHSlFm9c16wj+QelPqqlIobboZe8QDqZJGkm\nqCR1pq7HrY0dwanwfDa3dvE8n0qlyGQ6w3YcgiAgaSYwE0Y4cBZzEBCLcaslKva1tXo811MUmblu\n4IZtmejxn/3s5/jjP3mCaahG6g5u8cd//ASuY/P1nR2wx3zyqzuYqQS5TBojkea7vycgmYSzFwaM\nJgH9UC3VMETFlcukKeREcVQKZxDJpEk+n48NiHqDIaPhEEWWSaVTR3YRsC9mZ5omqXSKVDpFqVSM\ndyERlyOKStpjMOiBN+Tims+F7JS9vo2pu5xfg+54TNLf5TGvy+6HPsvp69eoPn+ZC+NthlOxeA2G\nYwbDMaOJEETMZFKsrS6TMHTAj9sSmqZSny5TnYfoO38j/s4vnL+fUydXefHKK7xy7eYRH+vPquF5\nZ0xcU2M2s2Il5XPrWRxvhRPr9TtqTW1tN0iaAu69Uq+yul6nXC4KSPNwFLLaRweSVC6XjaHh5XKR\nWrUUa2X5vo+ZSBwZXlcqxSPziHGY2O3iIyRaX4wn3qqm3lHW4zh12nEo+nn4dXX9eLmPlfrSAbju\nYkQtSNf1hANnPsfa2nIMi261Wvy9972Lj3/8EzzyyMN85jOf4aGHHuJjH/sYP/Zjf4+bN2/dkdAY\nxfnM/VzKPISPf9AT/W9wvNG2uod45Ewm+IuwbfWtiMX+8ObWLvcbt7hmn6SUzzMMb8bII32n0QoF\n9QZI13uk5j6SLJi7QSFJ8fH76XS6GLrGzHbIhdv0qJ+qqipKMskofIxlO/hAJdSR2tpuUFNUGAxI\nXbzI1zc3WcskGY4mFLwN1NojAFxr9QgGA5K5Ki9tDknrDrWsWOQaQ4+sCZmESAae51MqFXFtm0xO\nZzYTbafoZyDguql0Cte245mHGfpI5Isq47EcHwMc+PfhcB0xA7Ad98hjWq02p06u4n3lOXZqVayF\n9lD5CzeYf+jZA4uVJEHqPedJvv0+BrpGNptmNrPIZFJxq+XWxk5sPXvcIPnp3rOYcoIVb/nI713X\n5eorNwBYX1/jRfsKSyNR8aeTZjyo/vfPNPiei1U2txvomnqgxXOci2Cz2SEIoFTKxZpeCpAr5DBN\nI5YHqZQKjMdTxtMZvu9zYq2O4zg0Fir4cilPKpWk2xVtRcd1yOeyyIp8rM83iNbSaDSmxgZu5hSD\n1jaZ+jmBNrP3d4XHtbwWn2M8njIcje9q4b5TROKLrusiS4IYGxFEEmYGRhv4qRVcx8JxfUzTZDye\nkA2LkWvXXrmjG+FiRETLrtXj2vTmAShvNI+ybYdWW+zuj5ujHGpb3fXifPOX3/sffE7yBtrqrygi\nZqs9apN2BNEuCNsPkmcje6Kq1wYvMZHLVMtF9qw0lcy+xawsyTGZCgSrWn5qA+0TV3HCG0ADQWJz\nFJKP1qhUiuwMJxSzKRp7bRRZRpYVdF2j22pTyGWxNQ3D95l1eyQMgWKqKA7S1h6z8w8QjPqgKBgJ\ng7KuY3austHsMFQ1lhI6mcpJAMoZhc+92KM5kTm9pDNyfTTFR5I80sUc9njGZDzBcR1anW7MLI7m\nFpFZUSqdYjASLb0I0tqwm1ivOLz14YcplYqMhsN4dwEiURzeZQg/jTyuY8dzkyiJyLLMrZtbrCJ2\nh9e6ovW2/OVNhk88g+T4R1j2k49dgfEE772PoKoqkuzS2GuzvFyl2exQX66iyDJBuINcTCoASywx\nzA24Jt2gulvl5PJK/NyqqgpEVhipSZaxN2G1WMMLCZv//pl9GPf66vKBwWskYhj/P0RGSbKMPZ3F\nicPQNWq1SqjOPMVxXE6dXI3JqPXlKpqmxl7q4nsRBl39wQjfC5Ak+cjQu9vrM58fZZBrmko6nWTM\neVzHw0vWSbS+iC6paAuzkDuFpqkUCtk7w4HvIhbbQ6qqHlDxTbS+yLz8VlALEPKyWi1hc6ur+3yu\nKHEsCi6+VhSNAo8bwh8mSiBREtR1jWqlRLN1+zbbt0u8kTz+KsL3OaPfhNZNqLwNm/KxD1OsDp5R\nIloCZzOLRrODLEvYtoOiqnHFl0qaTD75IurHXwbn6E01+uDTMLqA9UOXqEc3ehBgJpMEvocXYtp7\n0xl4Y3LpJLXwRlJlF3Wry+j0KZzplPHYB1mJF9gHgXany/r6GtPJZN+RDgCZZNJkub7M7miXueeQ\nUF0UT8yFIm2jdCpJspBl7HRxe4RmUPvJQFjXZhlPxQJ3MrNGsqbEZkHRbiQXmhIdThyj4ZDl5TrN\nvQaqJpzxypUKGxsbYpaUTZO5doPd5SWUQQvmAfILWww/+BzSMZ8nALbH5NO38E5V4Z1FIvbC9s4e\nrutR1VQh/10XC0y0K1j07647NUplsZA0e2JBzylZzqbvQ5KleFF6U/U0T/eeJZUyufrKDTIZ8T6/\n95J47q2dxgEp8sM7DkVV6PeHaKqCFn5GnuuhavtyLpYlSJOC8ChsitthFayqgkEuyTJyiIYzDYPB\nSCyiEdpqUS49Moja2+sQBH6sUhu1l3YbTXw/ILf+ViSJY8mD/f6Q8WR6bHXvuh62bcfS5xGBLmLP\nxxH6sU8mQiQ0ahWaC8rGIAiIsjdH714+gAgDMfupLZUPDNRhf+B/t4ljMd6cvSgUeZMnKS4oDWua\nGnutHBZb9b+NOkFvzDy+iei0e7FfA4hqJtH6IsABranbhWeUDsw90pkktWop9rp2HYelpRKrKzWy\nezO0T1y940LHR19k9Myr+0N922E2ncaDV2QZHAfPNNE0jX5PJAf9ysu4D54jnRG6R47jsJI0Scym\n1NJJPHRWTq2xsbFJObQflcOb90zZJ2nI3Lwp0ehM2Ovb1G6aO1kAACAASURBVBQVazbbl1sPW1HB\nzEadikH43LKYjCeMhkNcW0B4B6MxnueTWE3g+x79/ozhaBfbcZnN54yGQ+aWEB8cDYfMZrP4j+24\nuK6NLCs88cSHeObZZ0mlUtTrNT7/+c/juR6eKrgSE8/gTL1KYubdlURFxpGw5hYza47neZw8KSQ4\ntrYb1NfuI5E6CnRpNFqcOXM2bj89XniUtfkKS6MljEkiNpy6od5iMN9XsW1Nely8eJFMtsD3vWU9\n/nk+d3swza2NHcaTKdlMOhRqzOC4Ho7nIctyzI+RFRlVVZBlhaWlkthNSRLLy9UDLRRZFii+mWWx\nulI7sLBHKsi1ainmJBWLORIJA4LggPvgifWVuNL3/QC9e1ncL+Mps5nFZDIlnU6SD1FgkZpuFJIk\nsdsQ4o+qqiIrMrIiH4W+ShKyInZHxWKeUuj6WCoXYtSeNrh64N48HNPZnMZe+1tqAysrMo8XHmXP\nbh87SJcV+chgR379e+LF8cbO45sIRVVizSSv+Tzz6p2TxXFhdJ5nUHgLhqqwvdPkxHqdYiEner7j\nfVKc352+pnR6EMBsp4d6Qsw61lZqbG43hKR54InKWZY5VSnEHteZ6zdQL91PtzNhOpuztlJjMp3h\n+h65bIZOo0nZtFFkldOnT/HS1etcOH8/fljdFQs5ctkMn/zqK/F5fGbH5Z11cLIGI6lHxivjeB6+\n5zO3LPQQTeX7HqqmMZvPyefzzGYzNEVhho2ypjDfsMlmlpFlBd/3yGSzNJRFNNts/5+hS+rSUonz\n58/z5JNPkgxNsd7//vczf/FFeORN8cOvdYforsdrOS5IioyuJ7jeSXDpjNhBBr7HAw88wI1Xr5NK\nqLxwa0JUh6UTCieXEoxlmc22RW1hzbcdl1q1RKPZ4ZR6QlSzfsDXRi/Fjnht2tT9k4xnHqBihJbC\nnucxGk3wfR9F1WI9NMEXScfDdVmW2NjajXc/W9sN8vk8eB6B7yNJEtWwik6ZJmZS2PAWC3lqS2Us\ny8a23TvKaOztdXBcgeoK/IC9Zlu49UkSvf7wQLKJZDok9q1voxF5t9vHTCSEQvJkyvwQpFWYon1z\nMw/Yny1u7XXI2hLH4DAOKBofFGm8+8X8doXI+cz9jN3JgTZWFEFw8LYOeGPn8f+LiC4WxephquJL\nd+2jvsd3Cg8dQ1Ww3H0r1t5gxHQ+j6u2u2GpivMRFWqxkBNSGLt75DJpcTPMhACeosji/4bOiaKo\nigM5SSJhkEkn2Wk0keR9eYn8AjfA0NVYy6lWLVEtFZFkhb/4TIr3fOcZ1PH9ZLz7uVC/n89fPYWn\nWKi9BLIkx+ioCBnluA6ZbBbfE/DQ0XDIdDqjN9iX60hUE3i+TyqdQr/55LHvWbZlzmfPc0o/heO4\n9PtDHnvsEr/wCz/PgxfO8/hjlxgNe3gd4fHd2GuzFqLKjvOyOBxBENCfwlrFYDJ3+dLLQ2xP4ube\nHCm1gm1bmFrA+dUEthOwVtZ45tqY86s63ZHLbHLQG2M4mrC2UhOVOoAsUZlX4kXl4ZKYC+TSCrm0\n+B4iDkcmk8K2HVKmwebWLq12D8/zGQzHqLJCfzCMiYRW6DBYKRVwHeEpUq2WWF1eYhjOl2RFEhIw\nQUCrLT6fXn+IZdsxvPbYz1yR4+tCkoUDpCSLZFAJd6b9/pBut08zVAoeDEbY+f3kbc0tIbMfts00\nTWM6P/hZeXd53YMAIETvefHcz5qbInFsN1haKt0V32IRAXa7ei0iVS5Gt9uPlZEPR1pN8XjxgSNI\nLEmWDrTWvo26Vm/sPO4lJN+Jt74gbBVpCXiiXRTkoMia9q6fM5ROMNT9BduybBLGwYvcdZzXvrIk\nif5gyFrCoNXpoSoKo8mE3mBIuVQQLnaZNMOwjeG9dJXO+ipqt89sbiFLEoauM5tOsWwbc+EcOo0m\njdBPW19a4vqNjXjge/FRn5s3ZUwTLlzskTHzXL0qse3uQQ5atI5oJF7InycxGpMABkkTwzRxbRvH\n83DZx/cbhsFoOEQH2sMOqqOyXC2zbTfBS1PQVDxPkMd+9Vd/gx//8R/n/PnzAPzu7/4unY5YSBzH\nIZfLoaoq//l/9p8CMFR8XrPQ8wOUrEu38SpdIA/cfHX/1zdCmsO1EVxYr7Nx6yYXVqpcu/YqWcA0\nxZwigr9WKkVubWxhGAkcx8FxvHjX8HjhUT719HUAHl7Tmc7mMcLK93ws24177xEk3NVUkkmT7mBA\nMZcjlTRpd/vYoTFVL4SNe76PNRcztcVqPlL1FQNzBUmSDlThx0WlXDiw4GmaEOd0XTduZSmyQj6f\njQfq48mUXG4Jvfs8dvFhmq0utVqFdMqMK/2oxRQN/w9Xtsex1SN/DlVVY85KJLWuTTZx06eA20Pr\nv9FYnD9FUboLJvzjxQd4uvsseS3L2bRof7bbXXK5LMlk4o221d/UCGTtNecYd4pr3SFniguIIc9H\nU/YbJ4YhSH/dnpA0X2TU+rlj9tqHz88PqD4gWMj1moB3rq3UkBX5gF5UPiE8OJQ3X6TKvjChoeuM\np1MqlSLjyZxkQheKv11Rqec8F8/3mekGqVSKF6+8wpmzj3D1JZlkEh655HP5mQJvfVtAqQSp0RIJ\nTT3AK1BVFVOxeJErYMDyeImkKt7bYDQWJlAjBavjICNhpk2sVz4BQObmZ2nUHsP3Au7LrvHqcJNA\nF4vJ7s4uH/jAB/jwhz/MU089BUChUOD9738/H/7wh9nZ2aFerzOdTmMgQOriGtaPTHH/9HlwjhH/\n02TS37UCD61SMA2CgNhjfnWlFg88o8UvQtht7+yhKDJL1bIgbDY7rNSrbO8I9E+1VKY/HGIaCRxn\ngm3bOI5LJ5xVvf3BMq1Wm8lkwokwQcuKmFct3rK5XCZmjedyGfADdvda6JpGJimTTGVQFA88k929\nFrO5FQMOQLDk68tVWq0uayu1eBAdeZNHravjFm1J2mdOR0NfVVVjxFlkAxDFSn0pLrwSrS9yOpVE\n7t/aZ7eN4LQGtG6wAvjdJMuqBv0GgayBrFKUgUkXHwUZD4L972w4nrGU2X9vTDbZGifvyDE5PBw/\nLiJI8TfKbj8QgXiut+Qe4cuDy1wZvcL5zP0x0GIRjBDGiLtkmH9zJ/aNxRvJ41sUkRvb7WIwn3M6\nf/A6UA8hLWpLZay5RTqVJJNJ4boutzZ2KBZyKOeWcL7/LNonrorh+OHQFZT3PciwmqAC7DZarK3U\nGA73We2apjK2XbaHm7RP+zy+cHi+kI2dCiN4cKcjFn1ZrlCrFvG9gMF4zKlChhsAkwm6MqFebzA3\nk1y95SKlXYJBhlTdxQvSTAAMyDgOc8sS7QU5yQX9PL1ej910g5SdJt0Ri9NsPkeWFdHWKuVxlSne\nO76P9te6ZLMZls0EZirBi1fEjKXBHCsvklpjd5szZ86Qz+dQZAlXUmgNBhQKBS5fvsxP/Rf/AICr\nnT4nMkn6/SH6d98vkttHX4z7zwFAAP5/9AD2u86Rf/ka7oPnsB2XE+t1Nrd26Xb75HNZOk99EPe+\n70MeTaiUCrEUxmg8ZS+0vdU1lXa7B8ixdzgBdPr77Oyd3WYIZXbZ7licWl6iUioc8B43Ekbsjndc\nOJFJV8Jge2/I8nIJXJ/RdEqxVGQ4GOL7wb6jYT6HpqnxbmZ3t0kul2UwHB9oVx7ow4cfUhDAdDKN\n20CR54ck30aap/UlrjunWKkLH/nl0OXydjIncOd7yoMDaCUzDYeNZXV7eOS4xbgXP49vJR8ucia8\nNr7JV3rPxZImh+c7fx2SI/cSbySPb1FYln3bi933fFpTm1wINx2NJiQSBq7totnT2AdiENqR5rKZ\n2DY0F/p2DwYjMu9+EFIpZk88e6QX63z/WfxLdfSwyg8I6HT7ZDPCtyOCwI7HY9p6m0uZh9jc3Dlg\nC7u6UmMynrK2nGXmeOhqSpgEJQzs1kuYlXPC8AjQp1Mol7mxsYWmGaznlnHTM1JmEl2D5K1bzC2L\nXCaNquv0Z1MURY4JkP1+H13TWR4vUSgWIR1qVPk+VGSe/n+/zPr6Oo8++gjPfukyn/rUp3jf+95H\npVLmlWs3qS8vUSyVuX79VWzHJWEY9PpDzl14Ey+9+HXuu+8+fvVXf5Wf/pn/kktGgrWf/Elu3NrC\nDOc8AhXkiGry7fdROLeK1x7jWA5z20KtZHFOCuSOd3MjdlCMoMPFYj7mWmiaEiPLMukkmUyaYjEf\nV6uj0YTJdIauqeSzWQbjMel0GtexsW0n3g1MpjNOFe7n9JpPrx+gBFOu39jg3NnT7DSarK7U7uhJ\nIUlisN7tDTixXufGzS1Orq8gyRaz6RQzmaTf72MkDDFrsm0gFV+jy8tVbtzcEtDmhdeRkA5wJqKW\n1VK1HB+bSiWxQ1/waAAv9a9hOG0CJK7bJ9DCltZigjGMo5CFKEFG99Ki4ONi9e96Lrpye8jDfD4H\nbr/+3ltC+NYOI271tjFlE8dyudK4Fv/cPUb+/vUabySPb0FEF3ekins4ZOWgU1+kbaRpKrjJ+EbN\nZFJs7+yRSpoCeriggRRBMaXveQByGuYsYDafYyYSDDSf9EWh/mo7Ltvbe7F8CQgRx6jnu6Fvcin3\nEJ7txYlDUWQajVZsf1rIZZACPU4cADNXIZhbNNtdVpaXxAhDVZlNZiTyOpmUxJ/+aYq1NXjsMfHE\nCcMQ5wixcGHfGKPkJLxXfRxHoKVc20bVdTzPF8nG0vm7f+dHGQyH/MZv/CseeeQRfuZn/iv+4A/+\nLR/5yEd473vfS7FU5vLl5/joRz/Ku9/9br7whS/wAz/wAzR2tlhfX+XXf/3X+eEf/mEm3RFZ1yUg\nQNdUhuECF8mOgxi2Gm+q43s+0tzGnk5RNBU35EX0T65TubmB9OhDOI6D7bgMBiPGK38rRk9Fkc2k\nsGxhZBR9f4mwFZlJJ2mG2mGppJCbz2UzDMNiAuDqVei5Wxj2OktVAV3d3G7cNeqoVquwFbY/ZFnG\ntm0m4wlLSyV2d5vxQFtWZOYLjG9ZkWm1usIE6pjdQ3T9RAq7kfFRdCwIApyiKJyUr2G7NSbGGkFe\nmJatsq9xRRDEhL3tnSb1sG0TJYZcLhO3cBRFZm2lRqfdI5vLiEIrJC3eTq4kikWb2TsJMN5N3C1o\n5W7iqzefxwuOTxLfTmirN+RJ7iG+UXmSa90ha9kUjZ29I4vAorrurY0ddE2lXC6iaWroNz7F930B\nic1lBLegVsWa25ipRCw/Yib+P/beNFiW+zzv+/XePdOzL2fOfjcAvAAIgCAIwKYpqUwQEiVaIpNU\n5LKVxHHZKtuVKqcSy7G/pJQ4dkVVicMkHxJLdEWyKVq0bJlSRMmkShslhSSEhQCBCxC4wF3ONmf2\npWem986Hnu4zc7Z7L0VbgAtPFQr3zDkz09PT/X//7/I8j85kNkNVFHzfZ6Ve5dbOfjp9kyzMb/I2\nT5Y+lJZPVEVBkWWyZobDVideJIQpQgDv3I5NlCRRpJGP6E4ViqV4QkoQBN4ejDE9Fz2znX6e2URk\nZwdWVr4TixXqOrOci6QLBHaEpAvc+NaU9ZJCrabQ6fioqooybxo7rsfa2ir7+wdsbW8zmYziwGNk\ncD2f6TyzGjkOeU2jYOhIkszYtlEkDS9wGE0nGKpGQZN5szvg4js3eM6Axy9/gJ2pw2Y+S6/dTXfa\nGcNgZaVCs9mmkMvRbMfcgsZK9cgzfd4jgnhnHQQh21trWBMb17EZW9Ol8diN9QbjcUyoPDzsEhHF\n1r2+v8T+zmYzeF4cpArFMtlsHHCCwOP69XdwXRdVVb/rkVXf9/EcHyMb99AWg1oiz76I01RwFx9L\nsuukPCcIYtobEQMbuf8qbvWJpeb5cSwqUi8ew87OAZubR43owWDEcKEJHgTBudLox3F42P0T9zwS\n3Isy7p0wcCe8ufcmAI9ffpyZM+NwcMhwMuS//ql/yas37PdE1/z9zON7jOUZ8SNoskSYy3GjP2Yt\nazDxfErHLsbjC0S5XExT94TQd3xqpNON6+ZhFFItF2m2uqiKzGQ6QxTFeaO2RaVS5pZ/k6pQpTef\nxgHIz5uMjuuzsd5I+x2GriNLIo7jIksS3aGLka+nGkF74wlXynnG4wk7u98im83SmsiMZiGXaj4g\nxuq3qoq7H/ddkqzioYtZrPGY0MuSNeKsYzaLsxDbcfj2q69RKZdjEcYE1rKI5KWCSRiF3Lhxk0a9\nQr8/jPkC0xmOYxNqOp2ZjaQoWBmDJ6czePUN2N5iZzRBD0Oah7HeVSJc6bgeg9GIUjFPfzBiNLIo\nFwt4QUB3c53a8y/jP/wBKsViXL4LY+l2x3HT7M3zfURRpDX35U6Q9LOSvsl4PKFQLCFJMv1+j4k1\nwXdnDN0Zz705oKD4FLICG6sNjKzOrdv7iKJw6pTPWQv1bGJjZHVGI4vi9GUUtcg4WKHXG5D1mpSF\nCbNWhpw4SdVwdSB0M7ilD4IgoLe/gSev09trooghoqDQ2+tS1iQyms5oMkX054E/0hgbD5KFpeNJ\n+ja7e00MTcNxHKIwIoqipeAVRtGSZlaxmD8R3O4FfnD+2Px5++ZWq4uh6+mggGEcDUSc+57nBE2I\nS3Jv9q4jCRJBFGBqJqZmstvd5cGtB1M+zHsB7/M87gGLafBp2Ns/PBE4WtYMSRC43huxljW4WMqh\nqTLlrH5PFpWO66V15xs3dxla8YK82qiBANmMgaZrmBkD1/PTWf6EeAgwCWdIAwnPC4C53/XIwrIm\nDIdxLX99dQXXiz0MEATCMEy9LPrDMXv7LfabLaLRiBv9MZNpvOhrmoo1dREjn1ptedRTVWQqlTLy\nvMzQ7/Uo5HK0uj1m89n+drvDdDrDM03UlRXGp3gnbGY0SmFAVYRWp8dhq0vG0NEOYhkMy5rEfhRh\nfBMrikwpazAu5Gmuxjf9lVoJggDbyNBYqdJu9+h0B1iTWFnWnJsspTLkopAaWEW6hnRwiJHVY8tU\nMT4/wpyRHcxJeOVCgVKpQLsbS5CvrFRot3tousZgOGIwGPGLX/gl2oeHfO5zn+OLX/yXbGxu8uu/\n8RW8IOITT11BZsq1a9d47oUXsSY2N2/e5Ktf/S0UNcP//U/+KYqsMTp4E8nuoPkDJLuDZHcQxy1k\n6zaydZvi9GW09jdxXQ+n9hRe4QEMTUcURZpOnjfl+9DqV2llP0gr9zh27WnGxSdwSx9E7X871X86\nnCpIZp2el2UWZSivXya3cgEpW8aNNEI5SyDGAwinNb+T6zwIQirV0ty/fNnqNiFJjsbW94TsYFnT\nO2YpiQ3yaVAU5cSE2d2M+54XOCAuyT158UMEUcD96/fTHDZpDpuslldxfOfUkuG7Fe9nHveAc2ew\nwzC9WJNR0LKmUjfjRWh3aKHdIwdkERERtUqJvf1DCnkT1/NT7oAoikujotbtGeVCgfFkQr1eoXnY\noVYtgks60w/zWvLcWU/XtIV5eyH1P0hE81ZLBhIG2YyBmc0giHFAjMKQfD4XL9pC/Pl816VSKafZ\nxGLQHQwGVMtlHDfmsnR7PWRZRl1ZOTEtA7BpZujaDqtmhr2Dw5R7kiz808mUW3GnmIQektTOa5US\n/eE4vemDgya3bu9zaf65r/dG1HIZjAAsy0KYB8uVWoXbuwcYc2/t7a212PXw4Q8QPP8yXNyiWq3E\nulYbqzi2gxdEcTNaVekOBul7Jk3eSrnIcDgmnzPnVqd9ZnNPmGeeeYZf+IVf4K/+1b+K6zp89rOf\npd/v82M/9mN8/etf55VXXmFtbS39u49//OMgSuRX7+dE5VyPtwXxd7zJ2mqdYEGEr9nuUDq2my8a\nGtd7I/K6mp47MZim5DpBECgUcsxsB8c56pNMpzYrK5W0tOb7frrBOW2h3d5aY2//kGjuqJiYpkVz\nbarke13EafpPdwPTPFu1925wGsN+cfLtXhAGIYPhaGmY5smLH2Jv/5DVldrS5xPfQ5nH+z2Pe8Cj\nl83o977406f+znd9ZFU+weVIcKM/5mLp5KTMaY6Cu3tNapXSUhazWGvWNJUojKdjFolfyeJ/cNBK\nbV6LpTy93oADr029ZFBTN+h2+rieR65SRvLievhxd7rErrVSLNLq9jDnO/GRNUEURWRJYmYYGLMZ\nhWIBwzB44QWTahWuXo1444030gxkMBigaVpMdJyjPxhSqFZYr5UZ2jbt6TKLsCqQHnvMUNfoD8fo\nmoqmqGnjuZA3KRbzDIdjoihiOLIQRSEdw8wY+vy87bLR6uI/HJ/rdrePqiiM5l4iK6ZJZ3+fixc2\n0mZtuVRgOBpjZjNoioqR1QmabaJOl718nkLejPsIjpMufhkjLrnouoYgSriOzWQ6S8tNyXdkTWyq\n1Rqu66CqGlEY4M37Ob//0g5/9tELZHWZyeRIoiabzaZ/3241zzSVOo69vcM0ewTSXszxa/X4Neof\nvoK88kj8nNGE3mDIaqOGY7vIipz2AJJrc7Fk+930CNrtHkEYO2PeSYrnPNxpbB6WVYmPi0yehiiM\nWfh32yNJcJZ0/VlYlGR/t+P9zOMeIMzLT1fKeXZ2D5bmxDfWG9zojbhQME88z/EDatk7k/wgvkg9\nz6fTGyyl3VEY0W730iDRbLUZ9EdIspQa+EDcVzDn1rMA1sSmXC5yvX+DsF9m12+iqSqyLDMdDGPv\ncstCnZdmEhG9IAgpFHT8yKZSKVN24gbfaj7elVqBzk1njbXVOq4fMJ5k+NjHIr76VQHDiEs9ifOf\nIitY1iTNRKqVMg9evY/r7T7NQZespJN1bCbafOGdTSmsrnDr9j4ZQ2c8m8bkxUqJ4cjCcTxyZoYg\nCBlbE6S5o581D2zxQh4hSSLTmY04GKFpOpGuYb9zi6BRRxAEVFVhM5PhYDjm0LLYbNQ4OIjLfLt7\n8eLseV5ad/d9n54oUrEdth5cxZpMsSaxR3i1UsIPAgaDEbVaOVaL7Q+RNZVSqZQu2JIsMZvYSMDe\nzm1MM0On3YpVeusV9vYPyRgq/9/LN/nAqkK70+XyxS00XcOejQmDkF63w2Q6S6Xbj2P/4JDGSi2+\nloIA1/PS62Oxb1LSl6eVLhRM9keTVJU5K8544+bu3EdmTLlYYDgcM53F/bTkdYYj68Ri3esPWDfi\n6/dus4darczOzgFhGJ0gGXqez/5B646DA2EQnjiWxPUwisJ0PFd96C8wHI8pl+KgJ8nSmSWng4MW\nlUrpngMHxOPC9xI83kt4P3jcI66U89zojWhUyiiqskT0q2T0E8Q/gInjpb7bcD5bNUmLj9drvSDA\nmy8CogCNeg1Nj819eo7L9naR8dil14t7HfVKGSOrL2krraxUGPRHFBdS8sTXQVVkzEwGI6vHmklh\nSC43v+gjnW54GcPQkBWX610ffJuH5XcYugUQJWolnxsHLrXam+Rym4xHIp7vMZpzVx68eh+tVpcg\nCJjZDq1WF811KeXKNFtdZElCsSw8w0BTVXb3m2haLNEBIYV8rNclz2VcVE0nCgN0XWMymcacgyii\nVivTPOzg+37q7eE4XlwOqVUwX3wFimXKYohu5Njf2+FSvcLOaIKsGoRmiCipFIvFuIZvmgwGI/71\nr3yJZ555Jl68KhmCF1/BvbCF5/nUKiVu7x5QLhWo1cp4no8gCESiMCdbxlnSdGqTN7P4YUAul2Xm\n2DTnfZt6vcJwOGZ9bYU3XmxysRyiKPGGYzEDFSURQ9dONJIXR1GLxTxvXb+J53k8ePW+pUZvsxl7\nrZ+WIQuiwNQ/Cki+eZGLtTrWwiRZjqNsZzKZEkVRaiW7qEW1eP0G4cngkZS6EiQjwJVK6dRAoyjy\nHQPHaeO4o5GFLMunLuCT2ez8hT2KcByX1dX6vCdzsg93J5TLxbvKhN6LeO90Z94FiKKId/YOyYoC\nQRgsBYqkZrwIx3ZwbIdyVsecl7QAQkFA000UVUcIjok+AWtrDRzXR9OPshhJFCmVSlzc3mB7a4N8\nMd4FCQgUcia+rxN4R8djzS1ki5Uq74x2yLom1jGRvtm8SQzxje+4bmpXe9y3WtC02FCnF+AeHnKh\nViZQ4+mudruD5zu8fuOA9bUG3W4s5GdoGvdduUi5VMSaxOUbQRDY3lojl81SKpXSkpskiUiFPCUh\nPs8baw0KpknG0CkWCvT6w5iNnDFwMhOa0iGHSofbsyaNRi0W6JvzWgI/IGdm6ff7FIt56rUyu3tN\nBqMxzdUGn//85/nXv/Jr/KN/9I/o9gZ4AbzyR3/E5z//ebo3b/LLv/yvaLc7/Pbv/B63b++SyxdZ\nW4tlyAHG07iHU6mW0LXYvEta4OU4rs9gOEaRY2kWSRLJmRk8Py7bCaJEu92LPcLnxx37wR8t3Jcu\nrKEpKsopgwOn4fiied+VC0As4LdYml6pV08Ejn5/mYntui43bu5yux8hBvaZGU42m8H3g9TkSxCE\nE/7cvu/TnxMrF3Gco+HP30OWRbqdfjyQcApOEyRMcJrnRj5vIp3Rp1js3xzHeDQBQUgDt2Hop8mH\nACd93I9D1//DzDzeDx73AEEQyBRy6Lp25JHB6bu4BIu7xovFAtd7I3ZGE67dnvLGrsvr/mN87XWf\n594OaY4UmiOFb74N33wb/DBCkEzeboncGBW51lTx0Hh1N+LXvtnj7ZbI2toqb/ZMstk8b/ZMJtI6\n999/PzOpzrU9gakTsF1YZzVbYzAY0B+OuN4b4bg+3cEgtYpVJAkjm8FxXQqFHJY1YW9vzN5enDmY\naqxbZPcGbG1tooguXuEDyHN+Rm8emAzZSOv+lWop5ks0ariOTSFvYuZiold3MGBiTdjeWmM2sYmi\nCMPzYjc8QWAyc2h1e0iSGBtjSSL1WoXB0GLmHjXgq9Hyjq7d7mGaMfEyGQIQRGHu6x4gyRL1ep1P\nf/rTfP/3fz/5XI7Pf/7zfOYzn6Fer/PSSy9RrVb5nd/5HarVKq+88go/93M/x2c+8xm0eQM9l8si\nPf4IwfMvp6O3iQ87gJnVkSSRUjFPrVbGzMaWwLIsT+RzhgAAIABJREFUMxiNGAwGVMpFRFFIp2ta\n3R7lYmFpIeoOBjRWaji2s7SY7kwdrvdG+Md80BNV115vMJ98yhKGEeECa/ntwZgr5fzSRmKR5V3P\n6ESixMZ6g/W1FaRZ81xWe7GYP2qyCycb5VHEHcs9zWY7XeB9P0wFBl3XJQqjJYmdzY3VNHtaxM7u\nwZllp9NG5+HkaHyCXm9wYtLq4JySmSCcv4y2Oz1u3d5Ly2f/oeD9stU9IAhD/CCk69rkdZXe1KFn\nO2cGjuMQ5+OxF4sFMpkMv/XSgAsrOo9dNikYMtcPplyuh0xslb2uiywKuAEoskglF39V45FIZ+Tx\n6MUsrh8hKyofe0jlVsuhkpNRZJH2yOfmoc1Tl0EWs7zd3+NSfpPpsIkoimRVha7tYBsZbMDxfWRJ\noj+ZERhxUBRFidUFgtW119/i8n2XmIwmRGGANO3Sjyqsr6+wt3/IS98ZcGktB+EA3w+Xdpae5zOd\n2WQMnYk1IZPREQQB13MZ9EepBe3qap3xeIIkicym01RHKgwjNE3FCwYc9g+5v7jBbtSn5pQprORS\ndnwQhmjz9/W8WIE2sV+tzE2CHNvhySc+DC++xKO6hlAz+S//i5/Atg/55Cf/LLduDVAVmfWHH+ZK\nOZ/upJsHe2SzR8ZFjusic7QALS7QSfM+KUnVamV6vQGNWgVr5qBIAq1Ob8ngqVGv0O0NeKs5oVGM\nd7kSkMtmQBRS5d0EV8r5eNBg6KY/Hy+NpOS7U3briR8IsFS6yevq0mZImjXxstt31cDu9AasNypI\n3hhCj8CILW53dg7IZo20BHQciQNhgt6xfl/iWJiUfxqN2gnOxWn8l/PQbLbT9+31BpSKBQRRwPf9\nE+fRsiYIopgG9lzOXJZJmQ86zGYOjuOcKCkukkczme+tuu+fJu46eAiCIAHPA3tRFH1KEISfB74f\nSHLSvxJF0bfOeG4eeB34N1EU/Vfzxz4M/DxgAL8B/O3oPTD6ZQchpipzazCmnjW4krlz4EhG/JJd\nH0Q4tsX3XZXR239IlH8Gx7a4PL+vLtdDLtdlXtvfZzuXoWyCNRqj6QpFM+T7rsq024eoQcDBvhLf\nUHnYHTeRAhEtU+BqdUKv61OtQifocIlNNtYbXO+NqKgK5sLY8K3b+2ws7KocPzjBzBVUnf3xFMOe\nYQcKMvsU81kCS2SrIvPmwYxJr89uJ8KWbLa2NtPme68/pFwqpPpOvX4sEgik5lCJ3lEYhoiCiBt4\nDPojfD/g4oUNmocdmk2bklmi25mhBAqFrXghX1x8HD9Ykrc3sxlu94cUSzl67VEqQe6YGeRX3wB8\nQizwBdq9GYauUa9XiMIoXkTXG0uqubVByM5vX6NSKhKIBsK/+QOMz3ws9S5P2fx5k2I+R28wTJUC\nyuUiE2uCrqtIkkQ2Y3DY6uA6LpIsIckSE1fmYk1AFHXanW68nScuW15v91FmM6rzxbSg66le2nnZ\n71kLa2Knq2kqWcNId9uXizm6U5tKElSOBQ4x9FC7LxAh4NSe4sbNXa7URC5mhrjiCsHccjVR0V1f\ne5Jub3DX8iDeKQrHwNKiXsjdjdjs2VgMxouve1r2YppZTDO7pC7s2E4sK6Np8SZlNEFV5XNJjWuN\n+PN/TxR63wW4l7LV3yYOAIv4qSiKHpv/d2rgmOMfAL9/7LH/C/hJ4L75fz90D8fyp4qVTIbtYg7j\nLi6A3aHFyHXSfsdpGI2OShVJXTX5+77jYaoyjWqJYibL0LZjfoVhMDs2WVKrlDB0fUlraTon8SXP\nu1LOLwUO4IR3yM5okh5Dy4qfr2Q0FFFAVRTy89p+JM14p11HLmyzXb5KpXyVnd6DXH3gSur3nctl\n2VxvkMtlURWZckVlY6OENtdFKuRyqPO6fhBOYkKb61GvVXBcLzXEMk0TQ9fYGwTk8+aZJYTFwAGw\ndxBLwrRaPXRdo1Ip0273aHf7CB/6ILx4Hd9TsWwBx3WpzyfXoijiSjkflxmnDmM3JPrDd+j9L19B\n+fXXGf3zrzP6ha8z/NXrNP/VNwHSxnHG0JlMZxwctikXC4ytKRlDJwxCPMchiiJq1RKHrQ6qohBG\nEfmcSTjnw9iOQ7vTTf1SrvdGuMQExy984Qv8b5/9P1BUHVFS0Y0coqTy8Po6oqQiSirWxEbTswSh\niKJmUNQMupFDUTP85he+AMRTSetrK7Gl7Ep1qUwjiAJWp8dg5tAxPoh/+MrRtdL+BoJnYdeexqk9\nhd7+Bg+YTQKjjlu8unTuEytmffydWOZ/wRnzLGQy+rkuhrdu7xMGIbl89oRt7d3C9/3vypN88Rxp\nukYYRuljuXyWTm9wakktgSiJeJ6P4ywf9/Ge03sFdxX+BEHYAH4E+IfAf3MvbzDPMFaAfws8MX9s\nFchHUfT1+c//DPg08Jv38tr/viGJwl2XqBJsFMylwNGyZvhhmI5DAkvkwZyZSRfsK+U8+6OjG04Q\nhaXd5g3PP0FcCoKAtdU6E2uKmsvE/AkBXGtGTZHnXhPxrncynRGFYSpVMh5PCJV48b3eG1HLqPRm\nXlpb9/oDZF2j2epSMOBWU8IwwPWg04HNTZhOmbOHBTrtftp4T/xEbt1qpcTG7a01ms02oiiyUqsg\nMqNSLrKz1+Sw1SEIw3QeX334L1CvV6jXY82iu+U4JKWN1dU6BwctZDmWID84aDG1XYL7LmF+6zXM\nJx7FzMZ/K0kiO3N711pGpaDr3PzSC+hfeRNO85D/9deY5HPknn0wHn0eWdQrZYaWxXgypZA3Uw2r\nSBRiyfNiPi3TeZ5HGIV0rfh7mEwmS4HDdJ00u/qbf+Mn+de/8iV+4Rf+OaVSiX4/ZrH/+I//OF/8\n4hcplUrcunWL6XRKo9HA8zwUReGxxx7j8ccf55FHHjlTQmcRybiybWRQnCrr7WuYjHhV+ABXtGJ6\nbEgPIgkCweBIPiavytQXSHpu8Spq53nM6hN39Z0lgovHobe/wZVyA6n3HHb1qXQDAqfv5hd1sxKy\nJ5Bycr5bJOUz+1gQuBOjPQxCBoMRkiRy49YusiSxubF6brB8N+Nuc6fPAn+Xk8Yk/1AQhP8e+G3g\n70VRtHQ2hbiT9L8C/xnw8YVfrQO7Cz/vzh97d+Mer7kwiJ+wokhLi91ZWYhjO2kmUQvjAJFVpVP/\nFuBiKXeiXFGplrAmNp0ILqsau85NCGP3t1ary/p6DiGAg/YU0zRRJIFmqztPwy0KhcLS6zl+RG++\nw9tYbzAYjtEFkQCVK1fu4+ZN6A8iPvYxuHlT4OMf6+O7Pr3hkGqlRKvTI5sxUh6Jqsj4QZCWUoIw\nRJJlhsMxk9mM9bUMmqamEz7Bxz5BPjAZt2KJelVV8Px4ZHlrY/VMxu/xmngYhKyu1Lg1r//XamVk\nUaI3sIkqJYLnXyZ89CH2D1qUSwVy2QwHh22CyRR9EKL96rdPNYwCwI8Y/9JzTEyJ6lP3MZvZcbMf\nUAs5XOKxVmO+W5Ukkb39Q9bXVnAdF2ueHd7u+FTV5cCR6IdBLChoGAY//uP/KbPZjLW1dW7ceIda\nrYqu63ziE8+wtraOZY1otzvUatX0/wDXr7/FD/7gD2LP7s47KDG8ujWb0Sms0M+scMUvxpOFqkxJ\nV49KWwu40R+fWMwT7ax7RVIi8zJb2LWnaXf6OK7OVvtFdMFLzdmkuZ7YYnN+sYS0vbWWlg9r1XIa\noFqtLpmMviT8WCzkUwn8RSS9Dd8P8DyftdV63Fyf68NZ8+m5swYMREmMybtm9kzrhvcS7li2EgTh\nU0AriqIXjv3q7wMfAD4ClIH/7pSn/y3gN6Io2jn+sqf87alLsyAIPykIwvPz/37yTsf7bsN4PKHj\nh+wOrVN/H0pHO7Tewkhjsig6flx7701On9S4UDBPvLaZ1ZFmM/54+C0m4Sz1x44iONi32G2O0VUV\n33XTrGMynRGGYapxlaBuGqnEiuP65M0MxYJJZFRxbIuMsc8Lb73N4cE+lvVtdm8cYE2niIJA4AfU\nq2XCORsewPV8wjBKhR4NXcN1XYZji3zOZDgcM5vZ+H5AdaOEHmkoKNRqZer1CsVinrVGne2tNQRR\nIAojwiA8IYcfLN6IYUSn22cwGlPIm+zuNZFFiWa7iyiKdDLxd3B40ELTVGzbYWe/mZY2JrvdO/eL\nwwjTiSVsgjBke2OVQqmAosQEScfx0pHeIDiSsqmUixQXvCsUKT7uJHC0O/2jEeDpDDOrY2b12ArW\nnbKx3kBTZTx3mj6mqXL6ePL/5N/2bAzzcxYGYXr+zoIoiVxcX0HKQM2PF+Z1Q6NuZk4NHABZRUqN\nsL5bSLNWXCJz+ti1pwmycdYgzSfnwvqH45JY+xuovVcQJZHJdHau93q5XGR7a41MJlajHg7H1OuV\nJRXhcrmIOHeKPA5ZlpFlmXq9gqLIKIpMuVxM/+26XlomPgtZwziTef/dyLD8aeJuMo+PAj8qCMIP\nE4tu5gVB+HwURT8x/70jCML/A/ydU577Z4CPCYLwtwATUAVBsID/nVjiP8EGcOoQdRRFPwv87F19\nmn/HCMMw7Ukk9elFIbNEFkNAQBQFwihWDg2MDBcLsaIusLSzjwI/LiVlZDKlPDf6Y4IoomFmMFU5\nXrwxcFyf3sSmnF2+YWVJpGboR9nMNM4Sepl9sqJBwSoyFMdEYTRP8+MdVxjFxx96sVQ7gC8GGNLp\nJQPTkMgaWhrUpuMM0/6Ir3BIlRz7zUMevHof3U4fSZJifoMSMhpZDMcW0nyUVdNUBASKpTyO6zOZ\nzqhXy6iqyn4zZlorSrzQXe+e3gRevMkEMT7fq6v1pQkacTEjEQUKeTNlEUuSRBhFBH6AJ8bB07rv\nEqtvvUNvexPHddlYa3B79wCIvb/v6DonwKx5SEZ8AE1VCaMIM5uh0+2nzXQAVVHQTDVdsEVJpFQs\ngCjTKGdRfHsp46jM+ygA3GFxOY/JvSRRIgpLGkrRPENOiHqnwRybNEcdGitVWu2Ym3OapDtA2dBp\nj0/fLN0NxMCG0OdV6UGYAZMBq4ZKrz880fxPM49Zi6vZXdphAzh9NHhRRn40ttj8Hvua12vlO2pf\nHR8Bfi/jjsEjiqK/T5xlIAjCDwB/J4qinxAEYTWKogMhvqs+Dbx6ynP/cvJvQRD+CvBEFEV/b/7z\nWBCEp4FvAv858H/+yT/Ov1uIkrjUqD3PEjTBzu4B0nzhScpMi2Wrq4BgmlSzBrIkpv0MOCpvXSnn\n0VSZHWt6IngA9Lo9ssR1/aFt853Z6zySf5D2fpeNzbu/QYql/AkiYYKspHNoTSmpMpLTojfT6fUP\nqU8NGkWPS+tbRGGE6irYiksxn0c1QBJ1xpYVuwTOF8yEB9JudxAEAS+I0ESB9bWVpXJTVYjPQdax\nWalXeac3RHedE7pfCar1Eq+OX+Y+5QOIx2bvbceloOeYTex0J2+aGUQxJvdZE5uDeo3VWzuMr1xk\nMnOQZYmZ71Er5hlG0fmSdaKI5nrcuLlL3szS6vSIwlhpN5F8zxg6rhc7B+43WxSLxThLVFRA5sNX\n1/j2t7tUxbhe7zjeUrnzTsOI+3vNpam5RUREJ3odljXBmsyQxFjGxcyclNBJSkGGoRHMJc5XG1XG\no8mpgSNheQvy8iZkWn6SzFyl905pnNr7FnvCA+T1o97JzPMRcjla1pSJF5BVpKW+SmDUsSiQ01X0\n9jcIpQxu+ZGj95/aS/fuYpC8dXufcrGAbmh0Or3vyjQqCdz3Mkm1qHu1t39I9T3GQv+TzIv9oiAI\nNeIS1LeAvwEgCMITwN+Iouiv3eH5f5OjUd3f5F3eLD8NdyOfXC2V2HNcWtaMkeud2ElLbZe1fBbL\n9TFP2TVeKR9lI+c16+3I5bn+S2RFIy1Tra8dBQ7HdhiOrKUd9OLEyXg8oVpbQdNNPGdKGIXs7jUp\n5HN0un1KhTxWBKauYRS3EaUJqqoR3pxy9XKDoW2zMxhjD0ZUSrGybNANjzK0hXVvOpty63bMbhcE\ngfFoRL/Xw9ENLjXqhEHIzpxf0aiUCTIq7wytWE59AUPbToOtH4TIkszDudiwqVpZvhGTIJ94Y2ia\nSqNWif3EiUt9ulbHrZTJvf4dosceQq9XiCKYHN6+s9ZpFDG80GCr0+Vg3t8JPJ+NOVclY+ix97cf\nzGVWZAaDAWa2wR/9kUK1GrsI/vAP389sNsWezbAdZ0naQrhDo/eswJFkOaPxBH/uexKGIYNhnAk3\n6hVkWaZUyuN5PpO5ZtfGeoPq3HlwseHcavfYOKM5nCy8yjEttyAMsWtPIwY2gjsiMJYXaGnWQrHe\nwa48wbT8JP2hxZWF4GAoMhsLunF+EKYZ2nRqY9tHhlxJNgKgWDeRZk1YeOw4FoPK4mBFJqOf6a9+\nHEnGlwSOxfN1FiaTKZ7nxWoMusZoPEmvx/cC7il4RFH0e8Dvzf/958/4m+eBE4EjiqKfJw4Wi3/3\n8L28/3sRRlbnyjxbqHN34ohJxnFaxnKlnMfxAxRBQJREBMnkwkWTqTPiYrRBFEbcuL1PKRebJfl+\nwMrqNjMvS70e7zo13cSxLQbjLO3D11INJMe2+JV/8/+ys7PDY489xs7ODt1ul06nwzPPPMOzzz7L\nl770JZ599hO88Id/xI988llu3ZyCNaNgGhR0nbEtMszEfJiGptLtdihdLJIPTgpGHh52CcOAlXqV\ndm/A5jw4NA876bRPQmZrT91UXDDBYpbWmzlpbyb+jFoqmX4aHMfl1u4BhbyJpqhMZzNKpQJDy6IG\nDAfxwmpNZ7CiU/2LTzL6F99EOG3aSpUIP/kB1IfW4OZtKsUinX6f3JyPEc6lXzZWV2iF4VzAUUoJ\njaL5Njf6IVrNJww2cBHJ50wKhdwS4/y7dbf2PI+1Rh1REjk4aKXnMMnONF1LMxJFibkKxvznZFFM\nFsKDg7iRPJlM6XQHrDZqp05H9W031kfTVIIowg9CAs8nCEPcIEPDiqe3Ehl/t/pEGlDeOYezkkCW\nxHRjZTg2jUYtLv8d/+zmBTzzQuxNUnv6rkQaFzOPe7WvPa5OfR7CMKJQyC1VL861fXiX4b3PVPkP\nAI4fYMgKEKVeyUnPI0FyM/UmNhld4PnRNQC2pCcBuN2Gp+430XSQTIWuF/LgVrxr+oPXRmyUJVbm\nWlnXbk/pjkM2ylMefvhhfM8lWNDYms1mTKdTMpkM3W7cgHz22Wd58803+fSnP810OuGTP/QM++2j\n58Q7//imzJdBFTymeHhOnlY7pMU8IAYBKhEqLBERPVU9KtPNPR0WrVwVyyLIm2eKzMnHbrrdvSab\nG6tnWo0m6sS24+J4LjPHwfS82Mntgx+g+O036D29QYZ4EZ1eWkEUHyL6wjUiYqkaoggi8H7wfsKn\ntghsm/DRh1Bffo3NuWVt0sgPgjCWgZ/3nVzXw3XjqbFCVmU4C1kxjpqtd6qdL/Yb7uQzoapq+vvF\nhVAQYwLcaQtqEkymUzsdatB0LfVmyWYzS7tyz/PpdHoIgkCjUbuLkfYH5+oGATujCXXbRRQFmtbs\njs9dPN4gilL/d0EUztzxdzOPUJkHkHvB6mp9iRx4JzRWqqkqwVlKwInsimne3Wby3Yr3g8e9IIol\nCLq9PpVyCVWRU2tRVZHZb7bZXGsQEhGd4ToYBhEzx2ZFii8wu/Y0Owu9jbcHYy4Xc0uLQVKeeWt4\nnX44Bpe0NCVIGr43Ybue59rteNa+VlSxJg6ObTFydR67kCOXFfDDiG/fmOIFER97KL5B/+C1EfeX\nrVRp99kf+ST/yX/0Y+mOV1NVMkaIP7zFhY0iQecaqpIl0Cq8dns+UWMayPPjxA0pBHnymLQ7fS6X\nc/PGc0xGTALG9d4Ia+8QxcyS0+KSxO7QwgsjehOb3nSG5E0I9DydvUOqpQKHXsCVuUppwhAWRXH+\n+OkLTr0ee5MjCDRWqkvidlrCWcmbBEGYkistW8UEpu84aA0Fp+mRuaQh/tBloo0807cdFFEgnM2I\nShmMh9dj5vr2Nq+++hq3Om1+VI2zolw+z1e+8lU+9akfRpZVstksk8mEg4P91Pa3VijTHe3z4NX7\n8IMQ49h0dhRGuG4cqJP+yWQ6S7ODZqtLvXKS9CZKAv3h+ITB0nDui+K6XiwdM50hy9KpJRpD12ge\ntmN+zDncEEWRv6tegSZLXCnnGYwnmBmDdUO943MWhyHWDY2m7ZJsJ7QzOCLZbAY7+3SagRz3Nz/P\nYnYym50ZPA4PuyiKlAbwIAjT11Fkie2tNfr9EaIoYE2mlIqFtM+hEWuxfTeExXcD3g8e9wIh9jI+\nfpHJipKq08p34RZoZHWE3m3c8iMMbRtJENjMx+Y8xwMHwBuzHYSZRVWqUo7qSwul7QxRBCGVNxEF\nkTCyMQQfkBG9AdffjielH7x6Hw/O2TSObSEKIk9eFhn0j97LVGXCKKQm7iO5A4bGhzjszCiEU/pC\nhGnWMbWjctHHH2/MX8/BHk7QF2SrHcfhsN2lkIsnnYaj8dGIrm+TKWSRI4HcvPxUNPQ02ypndaKw\nyNuDMYVigU67g67IQD7VIUpweIw3E4TLu2gzl8PM6ksjqePxhGzGYHtjNS1fDecCfIVCDr9SInMp\nXiyT/wMID9coXcjSnrps5rPg++w321y8sMGXv/wbfPrHfpSvfe1rSJLCL/7iL7K+vo5lWfzsz36O\nn/qpn4ol6WdTDg9bbG1tMRqN6fX6OP0+sMHNoYU+my5dY83DNqur9XQH2+70lwhpi3yXxSzk+C68\n1xvEo8OTKfpcDFFRZAqFXJrxLqLb6VMqFdJpMcd2Um2v83De1BbEO+/h0MJxXRQ55u0kn9cwjq4t\nz/M5bHWW77coShvunufT6fbIFgv4QcjBwelKvItIxntXVuIMJJzbB0vn9C+T4Ls4zZfguIzPEubH\nmZwL23ZPSMBX3mNN8kW8twaL/5QRzPWO2pMZTeuIUZsEjs2Nu59siqT45m1PXS6WcmkN93jgGHg9\nBCy2hC0u5TdPvI4mS0slhzAKcV7bZ/hbr3H9X/wBs999nZWhwINX78Nyl4laM8el2+mnwoSD1g7K\n8A2U9otYxhXs2tO48xtUr1fm1q8dbtzc5cbNox18FEaMxhNcd5lxmzF0KuUiuYJKMPeJCKOQPgKu\noGANxvT6Q27d3ufW7f2jcypMEcIpwpzRPx0MQDya0lo8Q44fkFeVtCe0O7Sw3OnScSR9k8VpucFw\nhCiJDMcW5VIBTVGROKrtH2oa5W/sEuyGcCAgNkVqfoWaX2HsxOdxaMelnERC5Uc/9SP89P/wP/J9\n3/d9dDqxTMXe3h6KouB5Hp1Om3/8j/8xP/uzP8dHPhKzrRVF4ctf/jKPPvIwe+0eZeKdq+/7DAax\nFtfijn48nlCrlpYCYZKVwHK563i5ZGxNCYKA9bUVNF1bUgIWRIHm4TI3o1KNvTUGgzg4t9q9JTXp\n0zCZTNPFcjKZpt9tkjFBXEYrFHLUa2WiKIz97Ftd2u0enuenKrrJyDYcyfYgCMxmNpPJFEWR2dxY\nJRhb3BxabG6skjPPLi/t7jWZTm1uhfeht7/BwUELURLvOmtqNGq0270Tjy9+tkUcF6T0g5NESVES\n09c8zlV6t+P9zOMesChPMpjFelUlTaUyX5zOkoQ+C47rozvn6/O8ad3iydKH0h37Weh2+lSqJSZf\nvRY3dgUBUxAIiOvCk5FL84mNpaxFU2X0ssZ69B2csEixvsm1t67j+TmysyblUolcLsvj1S7f2c2y\nvZWhVHmAN9+Ig1UOcIMQSZjiuC6CKBIuyKUHYcT+QYsLG0UkWSIIYtHDEhFGIYemljiO670R9xXn\n51GY0mzGulDHdbwS7IwmXCnnTwwjDM4hvsmyhCgIDIdjXNdD1zUGoxEbc3/37a011tdW8E2V2pu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srMicds8zmTTr9PsZCnUMghyQqBH/AzP/MzNA/2eOyxx/iBH/gBILaQbR7scXl1nWa7wrf+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\nnvmFZc7OlHnbm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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2758ed45da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clusterClubs(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
